Divya Gupta

Principal Researcher

论文与出版物

查看方式：

- Enterprise AI Must Enforce Participant-Aware Access Control
  
  Shashank Shreedhar Bhatt, Tanmay Rajore, Khushboo Aggarwal, Ganesh Ananthanarayanan, Ranveer Chandra, Nishanth Chandran, Suyash Choudhury, Divya Gupta, Emre Kiciman, Shrey Pandey, Srinath Setty, Rahul Sharma, Teijia Zhao
  
  arXiv:2509.14608 | September 2025
  
  作者：arXiv
  
  Publication
- Communication Efficient Secure and Private Multi-Party Deep Learning
  
  Sankha Das, Sayak Ray Chowdhuri, Nishanth Chandran, Divya Gupta, Satya Lokam, Rahul Sharma
  
  Privacy Enhancing technologies Symposium (PETS) 2025 | January 2025
  
  Publication 项目
- Secure Sorting and Selection via Function Secret Sharing
  
  Amit Agarwal, Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Mahimna Kelkar, Yiping Ma
  
  31st Annual Conference on Computer and Communications Security (ACM CCS 2024) | October 2024
  
  Publication 项目
- Securely Training Decision Trees Efficiently
  
  Divyanshu Bhardwaj, Sandhya Saravanan, Nishanth Chandran, Divya Gupta
  
  31st Annual Conference on Computer and Communications Security (ACM CCS 2024) | August 2024
  
  Publication 项目
- SIGMA: Secure GPT Inference with Function Secret Sharing
  
  Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma
  
  Privacy Enhancing technologies Symposium (PETS) 2024 | June 2024
  
  Publication 项目
- Orca: FSS-based Secure Training and Inference with GPUs
  
  Neha Jawalkar, Kanav Gupta, Arkaprava Basu, Nishanth Chandran, Divya Gupta, Rahul Sharma
  
  2024 IEEE Symposium on Security and Privacy | May 2024
  
  Publication 项目
- TRUCE: Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs
  
  Nishanth Chandran, Sunayana Sitaram, Divya Gupta, Rahul Sharma, Kashish Mittal, Swami Manohar
  
  February 2024
  
  DOI Publication Publication Github
- Secure Floating-Point Training
  
  Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song
  
  Usenix Security Symposium 2023 | August 2023
  
  Publication 项目
- End-to-end Privacy Preserving Training and Inference for Air Pollution Forecasting with Data from Rival Fleets
  
  Gauri Gupta, Krithika Ramesh, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Nishanth Chandran, Rijurekha Sen
  
  Privacy Enhancing technologies Symposium (PETS) 2023 | July 2023
  
  Publication 项目
- SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost
  
  Nishanth Chandran, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Akash Shah
  
  USENIX Security | August 2022
  
  USENIX Security 2022
  
  Publication 项目
- Circuit-PSI with Linear Complexity via Relaxed Batch OPPRF
  
  Nishanth Chandran, Divya Gupta, Akash Shah
  
  22nd Privacy Enhancing Technologies Symposium (PETS 2022) | June 2022
  
  Publication 项目
- LLAMA: A Low Latency Math Library for Secure Inference
  
  Kanav Gupta, Deepak Kumaraswamy, Nishanth Chandran, Divya Gupta
  
  PETS 2022 | June 2022
  
  Publication 项目
- SECFLOAT: Accurate Floating-Point meets Secure 2-Party Computation
  
  Deevashwer Rathee, Anwesh Bhattacharya, Rahul Sharma, Divya Gupta, Nishanth Chandran, Aseem Rastogi
  
  43rd IEEE Symposium on Security and Privacy (IEEE S&P 2022) | May 2022
  
  Publication 项目
- Secure Featurization and Applications to Secure Phishing Detection
  
  Akash Shah, Nishanth Chandran, Divya Gupta, Mesfin Dema, Arun Gururajan, Huan Yu
  
  CCSW 2021: The ACM Cloud Computing Security Workshop | October 2021
  
  Publication 项目
- Multi-institution encrypted medical imaging AI validation without data sharing
  
  Arjun Soin, Pratik Bhatu, Rohit Takhar, Nishanth Chandran, Divya Gupta, Javier Alvarez-Valle, Rahul Sharma, Vidur Mahajan, Matthew P Lungren
  
  August 2021
  
  Publication 项目
- Efficient Linear Multiparty PSI and Extensions to Circuit/Quorum PSI
  
  Nishanth Chandran, Nishka Dasgupta, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Sruthi Sekar, Akash Shah
  
  28th Annual Conference on Computer and Communications Security (ACM CCS 2021) | May 2021
  
  Publication 项目
- SIRNN: A Math Library for Secure RNN Inference
  
  Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli, Divya Gupta, Rahul Sharma, Nishanth Chandran, Aseem Rastogi
  
  42nd IEEE Symposium on Security and Privacy (IEEE S&P 2021) | February 2021
  
  Publication 项目
- Function Secret Sharing for Mixed-Mode and Fixed-Point Secure Computation
  
  Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Nishant Kumar, Mayank Rathee
  
  EUROCRYPT 2021 | January 2021
  
  Publication 项目
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 项目项目
- CrypTFlow2: Practical 2-Party Secure Inference
  
  Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
  
  27th Annual Conference on Computer and Communications Security (ACM CCS 2020) | August 2020
  
  Publication 项目
- CrypTFlow: Secure TensorFlow Inference
  
  Nishant Kumar, Mayank Rathee, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
  
  IEEE Symposium on Security and Privacy | May 2020
  
  Publication 视频 Github 项目
- Explicit Rate-1 Non-malleable Codes for Local Tampering
  
  Divya Gupta, Hemanta Maji, Mingyuan Wang
  
  CRYPTO | August 2019
  
  Publication
- EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation for Machine Learning
  
  Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma, Shardul Tripathi
  
  IEEE European Symposium on Security and Privacy | February 2019
  
  Publication 视频 Github 项目
- SecureNN: Efficient and Private Neural Network Training
  
  Sameer Wagh, Divya Gupta, Nishanth Chandran
  
  Privacy Enhancing Technologies Symposium | February 2019
  
  Publication 项目
- Secure Computation using Leaky Correlations (Asymptotically Optimal Constructions)
  
  Alexander R. Block, Divya Gupta, Hemanta Maji, Hai H. Nguyen
  
  TCC | November 2018
  
  Publication
- Laconic Oblivious Transfer and its Applications
  
  Chongwon Cho, Nico Doettling, Sanjam Garg, Divya Gupta, Peihan Miao, Antigoni Polychroniadou
  
  CRYPTO | August 2017
  
  Publication
- Multi-Input Functional Encryption for Unbounded Arity Functions
  
  Saikrishna Badrinarayanan, Divya Gupta, Abhishek Jain, Amit Sahai
  
  ASIACRYPT | November 2015
  
  Publication
- Concurrent Secure Computation via Non-Black Box Simulation.
  
  Vipul Goyal, Divya Gupta, Amit Sahai
  
  CRYPTO | August 2015
  
  Publication
- Explicit Non-malleable Codes Against Bit-Wise Tampering and Permutations
  
  Shashank Agrawal, Divya Gupta, Hemanta K. Maji, Omkant Pandey, Manoj Prabhakaran
  
  CRYPTO | August 2015
  
  Publication
- Secure Computation from Leaky Correlated Randomness
  
  Divya Gupta, Yuval Ishai, Hemanta K. Maji, Amit Sahai
  
  CRYPTO | August 2015
  
  Publication
- Hosting Services on an Untrusted Cloud
  
  Dan Boneh, Divya Gupta, Ilya Mironov, Amit Sahai
  
  EUROCRYPT | April 2015
  
  Publication
- A Rate-Optimizing Compiler for Non-malleable Codes Against Bit-Wise Tampering and Permutations
  
  Shashank Agrawal, Divya Gupta, Hemanta K. Maji, Omkant Pandey, Manoj Prabhakaran
  
  TCC | March 2015
  
  Publication
- On Constant-Round Concurrent Zero-Knowledge from a Knowledge Assumption
  
  Divya Gupta, Amit Sahai
  
  Indocrypt | December 2014
  
  Publication
- Optimizing Obfuscation: Avoiding Barrington’s Theorem
  
  Prabhanjan Ananth, Divya Gupta, Yuval Ishai, Amit Sahai
  
  ACM CCS | November 2014
  
  Publication
- Efficient Round Optimal Blind Signatures
  
  Sanjam Garg, Divya Gupta
  
  EUROCRYPT | May 2014
  
  Publication
- What Information Is Leaked under Concurrent Composition?
  
  Vipul Goyal, Divya Gupta, Abhishek Jain
  
  CRYPTO | August 2013
  
  Publication

- Enterprise AI Must Enforce Participant-Aware Access Control
  
  Shashank Shreedhar Bhatt, Tanmay Rajore, Khushboo Aggarwal, Ganesh Ananthanarayanan, Ranveer Chandra, Nishanth Chandran, Suyash Choudhury, Divya Gupta, Emre Kiciman, Shrey Pandey, Srinath Setty, Rahul Sharma, Teijia Zhao
  
  arXiv:2509.14608 | September 2025
  
  作者：arXiv
  
  Publication
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 项目项目
- Communication Efficient Secure and Private Multi-Party Deep Learning
  
  Sankha Das, Sayak Ray Chowdhuri, Nishanth Chandran, Divya Gupta, Satya Lokam, Rahul Sharma
  
  Privacy Enhancing technologies Symposium (PETS) 2025 | January 2025
  
  Publication 项目
- Secure Sorting and Selection via Function Secret Sharing
  
  Amit Agarwal, Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Mahimna Kelkar, Yiping Ma
  
  31st Annual Conference on Computer and Communications Security (ACM CCS 2024) | October 2024
  
  Publication 项目
- Securely Training Decision Trees Efficiently
  
  Divyanshu Bhardwaj, Sandhya Saravanan, Nishanth Chandran, Divya Gupta
  
  31st Annual Conference on Computer and Communications Security (ACM CCS 2024) | August 2024
  
  Publication 项目
- SIGMA: Secure GPT Inference with Function Secret Sharing
  
  Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma
  
  Privacy Enhancing technologies Symposium (PETS) 2024 | June 2024
  
  Publication 项目
- Orca: FSS-based Secure Training and Inference with GPUs
  
  Neha Jawalkar, Kanav Gupta, Arkaprava Basu, Nishanth Chandran, Divya Gupta, Rahul Sharma
  
  2024 IEEE Symposium on Security and Privacy | May 2024
  
  Publication 项目
- TRUCE: Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs
  
  Nishanth Chandran, Sunayana Sitaram, Divya Gupta, Rahul Sharma, Kashish Mittal, Swami Manohar
  
  February 2024
  
  DOI Publication Publication Github
- Secure Floating-Point Training
  
  Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song
  
  Usenix Security Symposium 2023 | August 2023
  
  Publication 项目
- End-to-end Privacy Preserving Training and Inference for Air Pollution Forecasting with Data from Rival Fleets
  
  Gauri Gupta, Krithika Ramesh, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Nishanth Chandran, Rijurekha Sen
  
  Privacy Enhancing technologies Symposium (PETS) 2023 | July 2023
  
  Publication 项目
- SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost
  
  Nishanth Chandran, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Akash Shah
  
  USENIX Security | August 2022
  
  USENIX Security 2022
  
  Publication 项目
- LLAMA: A Low Latency Math Library for Secure Inference
  
  Kanav Gupta, Deepak Kumaraswamy, Nishanth Chandran, Divya Gupta
  
  PETS 2022 | June 2022
  
  Publication 项目
- Circuit-PSI with Linear Complexity via Relaxed Batch OPPRF
  
  Nishanth Chandran, Divya Gupta, Akash Shah
  
  22nd Privacy Enhancing Technologies Symposium (PETS 2022) | June 2022
  
  Publication 项目
- SECFLOAT: Accurate Floating-Point meets Secure 2-Party Computation
  
  Deevashwer Rathee, Anwesh Bhattacharya, Rahul Sharma, Divya Gupta, Nishanth Chandran, Aseem Rastogi
  
  43rd IEEE Symposium on Security and Privacy (IEEE S&P 2022) | May 2022
  
  Publication 项目
- Secure Featurization and Applications to Secure Phishing Detection
  
  Akash Shah, Nishanth Chandran, Divya Gupta, Mesfin Dema, Arun Gururajan, Huan Yu
  
  CCSW 2021: The ACM Cloud Computing Security Workshop | October 2021
  
  Publication 项目
- Multi-institution encrypted medical imaging AI validation without data sharing
  
  Arjun Soin, Pratik Bhatu, Rohit Takhar, Nishanth Chandran, Divya Gupta, Javier Alvarez-Valle, Rahul Sharma, Vidur Mahajan, Matthew P Lungren
  
  August 2021
  
  Publication 项目
- Efficient Linear Multiparty PSI and Extensions to Circuit/Quorum PSI
  
  Nishanth Chandran, Nishka Dasgupta, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Sruthi Sekar, Akash Shah
  
  28th Annual Conference on Computer and Communications Security (ACM CCS 2021) | May 2021
  
  Publication 项目
- SIRNN: A Math Library for Secure RNN Inference
  
  Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli, Divya Gupta, Rahul Sharma, Nishanth Chandran, Aseem Rastogi
  
  42nd IEEE Symposium on Security and Privacy (IEEE S&P 2021) | February 2021
  
  Publication 项目
- Function Secret Sharing for Mixed-Mode and Fixed-Point Secure Computation
  
  Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Nishant Kumar, Mayank Rathee
  
  EUROCRYPT 2021 | January 2021
  
  Publication 项目
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 项目项目
- CrypTFlow2: Practical 2-Party Secure Inference
  
  Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
  
  27th Annual Conference on Computer and Communications Security (ACM CCS 2020) | August 2020
  
  Publication 项目
- CrypTFlow: Secure TensorFlow Inference
  
  Nishant Kumar, Mayank Rathee, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
  
  IEEE Symposium on Security and Privacy | May 2020
  
  Publication 视频 Github 项目
- Explicit Rate-1 Non-malleable Codes for Local Tampering
  
  Divya Gupta, Hemanta Maji, Mingyuan Wang
  
  CRYPTO | August 2019
  
  Publication
- EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation for Machine Learning
  
  Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma, Shardul Tripathi
  
  IEEE European Symposium on Security and Privacy | February 2019
  
  Publication 视频 Github 项目
- SecureNN: Efficient and Private Neural Network Training
  
  Sameer Wagh, Divya Gupta, Nishanth Chandran
  
  Privacy Enhancing Technologies Symposium | February 2019
  
  Publication 项目
- Secure Computation using Leaky Correlations (Asymptotically Optimal Constructions)
  
  Alexander R. Block, Divya Gupta, Hemanta Maji, Hai H. Nguyen
  
  TCC | November 2018
  
  Publication
- Laconic Oblivious Transfer and its Applications
  
  Chongwon Cho, Nico Doettling, Sanjam Garg, Divya Gupta, Peihan Miao, Antigoni Polychroniadou
  
  CRYPTO | August 2017
  
  Publication
- Multi-Input Functional Encryption for Unbounded Arity Functions
  
  Saikrishna Badrinarayanan, Divya Gupta, Abhishek Jain, Amit Sahai
  
  ASIACRYPT | November 2015
  
  Publication
- Concurrent Secure Computation via Non-Black Box Simulation.
  
  Vipul Goyal, Divya Gupta, Amit Sahai
  
  CRYPTO | August 2015
  
  Publication
- Explicit Non-malleable Codes Against Bit-Wise Tampering and Permutations
  
  Shashank Agrawal, Divya Gupta, Hemanta K. Maji, Omkant Pandey, Manoj Prabhakaran
  
  CRYPTO | August 2015
  
  Publication
- Secure Computation from Leaky Correlated Randomness
  
  Divya Gupta, Yuval Ishai, Hemanta K. Maji, Amit Sahai
  
  CRYPTO | August 2015
  
  Publication
- Hosting Services on an Untrusted Cloud
  
  Dan Boneh, Divya Gupta, Ilya Mironov, Amit Sahai
  
  EUROCRYPT | April 2015
  
  Publication
- A Rate-Optimizing Compiler for Non-malleable Codes Against Bit-Wise Tampering and Permutations
  
  Shashank Agrawal, Divya Gupta, Hemanta K. Maji, Omkant Pandey, Manoj Prabhakaran
  
  TCC | March 2015
  
  Publication
- On Constant-Round Concurrent Zero-Knowledge from a Knowledge Assumption
  
  Divya Gupta, Amit Sahai
  
  Indocrypt | December 2014
  
  Publication
- Optimizing Obfuscation: Avoiding Barrington’s Theorem
  
  Prabhanjan Ananth, Divya Gupta, Yuval Ishai, Amit Sahai
  
  ACM CCS | November 2014
  
  Publication
- Efficient Round Optimal Blind Signatures
  
  Sanjam Garg, Divya Gupta
  
  EUROCRYPT | May 2014
  
  Publication
- What Information Is Leaked under Concurrent Composition?
  
  Vipul Goyal, Divya Gupta, Abhishek Jain
  
  CRYPTO | August 2013
  
  Publication
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 项目项目
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 项目项目
- EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation for Machine Learning
  
  Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma, Shardul Tripathi
  
  IEEE European Symposium on Security and Privacy | February 2019
  
  Publication 视频 Github 项目

- Enterprise AI Must Enforce Participant-Aware Access Control
  
  Shashank Shreedhar Bhatt, Tanmay Rajore, Khushboo Aggarwal, Ganesh Ananthanarayanan, Ranveer Chandra, Nishanth Chandran, Suyash Choudhury, Divya Gupta, Emre Kiciman, Shrey Pandey, Srinath Setty, Rahul Sharma, Teijia Zhao
  
  arXiv:2509.14608 | September 2025
  
  作者：arXiv
  
  Publication
- Communication Efficient Secure and Private Multi-Party Deep Learning
  
  Sankha Das, Sayak Ray Chowdhuri, Nishanth Chandran, Divya Gupta, Satya Lokam, Rahul Sharma
  
  Privacy Enhancing technologies Symposium (PETS) 2025 | January 2025
  
  Publication 项目
- Secure Sorting and Selection via Function Secret Sharing
  
  Amit Agarwal, Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Mahimna Kelkar, Yiping Ma
  
  31st Annual Conference on Computer and Communications Security (ACM CCS 2024) | October 2024
  
  Publication 项目
- Securely Training Decision Trees Efficiently
  
  Divyanshu Bhardwaj, Sandhya Saravanan, Nishanth Chandran, Divya Gupta
  
  31st Annual Conference on Computer and Communications Security (ACM CCS 2024) | August 2024
  
  Publication 项目
- SIGMA: Secure GPT Inference with Function Secret Sharing
  
  Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma
  
  Privacy Enhancing technologies Symposium (PETS) 2024 | June 2024
  
  Publication 项目
- Orca: FSS-based Secure Training and Inference with GPUs
  
  Neha Jawalkar, Kanav Gupta, Arkaprava Basu, Nishanth Chandran, Divya Gupta, Rahul Sharma
  
  2024 IEEE Symposium on Security and Privacy | May 2024
  
  Publication 项目
- Secure Floating-Point Training
  
  Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song
  
  Usenix Security Symposium 2023 | August 2023
  
  Publication 项目
- End-to-end Privacy Preserving Training and Inference for Air Pollution Forecasting with Data from Rival Fleets
  
  Gauri Gupta, Krithika Ramesh, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Nishanth Chandran, Rijurekha Sen
  
  Privacy Enhancing technologies Symposium (PETS) 2023 | July 2023
  
  Publication 项目
- SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost
  
  Nishanth Chandran, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Akash Shah
  
  USENIX Security | August 2022
  
  USENIX Security 2022
  
  Publication 项目
- LLAMA: A Low Latency Math Library for Secure Inference
  
  Kanav Gupta, Deepak Kumaraswamy, Nishanth Chandran, Divya Gupta
  
  PETS 2022 | June 2022
  
  Publication 项目
- Circuit-PSI with Linear Complexity via Relaxed Batch OPPRF
  
  Nishanth Chandran, Divya Gupta, Akash Shah
  
  22nd Privacy Enhancing Technologies Symposium (PETS 2022) | June 2022
  
  Publication 项目
- SECFLOAT: Accurate Floating-Point meets Secure 2-Party Computation
  
  Deevashwer Rathee, Anwesh Bhattacharya, Rahul Sharma, Divya Gupta, Nishanth Chandran, Aseem Rastogi
  
  43rd IEEE Symposium on Security and Privacy (IEEE S&P 2022) | May 2022
  
  Publication 项目
- Secure Featurization and Applications to Secure Phishing Detection
  
  Akash Shah, Nishanth Chandran, Divya Gupta, Mesfin Dema, Arun Gururajan, Huan Yu
  
  CCSW 2021: The ACM Cloud Computing Security Workshop | October 2021
  
  Publication 项目
- Efficient Linear Multiparty PSI and Extensions to Circuit/Quorum PSI
  
  Nishanth Chandran, Nishka Dasgupta, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Sruthi Sekar, Akash Shah
  
  28th Annual Conference on Computer and Communications Security (ACM CCS 2021) | May 2021
  
  Publication 项目
- SIRNN: A Math Library for Secure RNN Inference
  
  Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli, Divya Gupta, Rahul Sharma, Nishanth Chandran, Aseem Rastogi
  
  42nd IEEE Symposium on Security and Privacy (IEEE S&P 2021) | February 2021
  
  Publication 项目
- Function Secret Sharing for Mixed-Mode and Fixed-Point Secure Computation
  
  Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Nishant Kumar, Mayank Rathee
  
  EUROCRYPT 2021 | January 2021
  
  Publication 项目
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 项目项目
- CrypTFlow2: Practical 2-Party Secure Inference
  
  Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
  
  27th Annual Conference on Computer and Communications Security (ACM CCS 2020) | August 2020
  
  Publication 项目
- CrypTFlow: Secure TensorFlow Inference
  
  Nishant Kumar, Mayank Rathee, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
  
  IEEE Symposium on Security and Privacy | May 2020
  
  Publication 视频 Github 项目
- Explicit Rate-1 Non-malleable Codes for Local Tampering
  
  Divya Gupta, Hemanta Maji, Mingyuan Wang
  
  CRYPTO | August 2019
  
  Publication
- EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation for Machine Learning
  
  Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma, Shardul Tripathi
  
  IEEE European Symposium on Security and Privacy | February 2019
  
  Publication 视频 Github 项目
- SecureNN: Efficient and Private Neural Network Training
  
  Sameer Wagh, Divya Gupta, Nishanth Chandran
  
  Privacy Enhancing Technologies Symposium | February 2019
  
  Publication 项目
- Secure Computation using Leaky Correlations (Asymptotically Optimal Constructions)
  
  Alexander R. Block, Divya Gupta, Hemanta Maji, Hai H. Nguyen
  
  TCC | November 2018
  
  Publication
- Laconic Oblivious Transfer and its Applications
  
  Chongwon Cho, Nico Doettling, Sanjam Garg, Divya Gupta, Peihan Miao, Antigoni Polychroniadou
  
  CRYPTO | August 2017
  
  Publication
- Multi-Input Functional Encryption for Unbounded Arity Functions
  
  Saikrishna Badrinarayanan, Divya Gupta, Abhishek Jain, Amit Sahai
  
  ASIACRYPT | November 2015
  
  Publication
- Concurrent Secure Computation via Non-Black Box Simulation.
  
  Vipul Goyal, Divya Gupta, Amit Sahai
  
  CRYPTO | August 2015
  
  Publication
- Explicit Non-malleable Codes Against Bit-Wise Tampering and Permutations
  
  Shashank Agrawal, Divya Gupta, Hemanta K. Maji, Omkant Pandey, Manoj Prabhakaran
  
  CRYPTO | August 2015
  
  Publication
- Secure Computation from Leaky Correlated Randomness
  
  Divya Gupta, Yuval Ishai, Hemanta K. Maji, Amit Sahai
  
  CRYPTO | August 2015
  
  Publication
- Hosting Services on an Untrusted Cloud
  
  Dan Boneh, Divya Gupta, Ilya Mironov, Amit Sahai
  
  EUROCRYPT | April 2015
  
  Publication
- A Rate-Optimizing Compiler for Non-malleable Codes Against Bit-Wise Tampering and Permutations
  
  Shashank Agrawal, Divya Gupta, Hemanta K. Maji, Omkant Pandey, Manoj Prabhakaran
  
  TCC | March 2015
  
  Publication
- On Constant-Round Concurrent Zero-Knowledge from a Knowledge Assumption
  
  Divya Gupta, Amit Sahai
  
  Indocrypt | December 2014
  
  Publication
- Optimizing Obfuscation: Avoiding Barrington’s Theorem
  
  Prabhanjan Ananth, Divya Gupta, Yuval Ishai, Amit Sahai
  
  ACM CCS | November 2014
  
  Publication
- Efficient Round Optimal Blind Signatures
  
  Sanjam Garg, Divya Gupta
  
  EUROCRYPT | May 2014
  
  Publication
- What Information Is Leaked under Concurrent Composition?
  
  Vipul Goyal, Divya Gupta, Abhishek Jain
  
  CRYPTO | August 2013
  
  Publication
- TRUCE: Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs
  
  Nishanth Chandran, Sunayana Sitaram, Divya Gupta, Rahul Sharma, Kashish Mittal, Swami Manohar
  
  February 2024
  
  DOI Publication Publication Github
- Multi-institution encrypted medical imaging AI validation without data sharing
  
  Arjun Soin, Pratik Bhatu, Rohit Takhar, Nishanth Chandran, Divya Gupta, Javier Alvarez-Valle, Rahul Sharma, Vidur Mahajan, Matthew P Lungren
  
  August 2021
  
  Publication 项目

Divya Gupta

论文与出版物

Enterprise AI Must Enforce Participant-Aware Access Control

Communication Efficient Secure and Private Multi-Party Deep Learning

Secure Sorting and Selection via Function Secret Sharing

Securely Training Decision Trees Efficiently

SIGMA: Secure GPT Inference with Function Secret Sharing

Orca: FSS-based Secure Training and Inference with GPUs

TRUCE: Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs

Secure Floating-Point Training

End-to-end Privacy Preserving Training and Inference for Air Pollution Forecasting with Data from Rival Fleets

SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost

Circuit-PSI with Linear Complexity via Relaxed Batch OPPRF

LLAMA: A Low Latency Math Library for Secure Inference

SECFLOAT: Accurate Floating-Point meets Secure 2-Party Computation

Secure Featurization and Applications to Secure Phishing Detection

Multi-institution encrypted medical imaging AI validation without data sharing

Efficient Linear Multiparty PSI and Extensions to Circuit/Quorum PSI

SIRNN: A Math Library for Secure RNN Inference

Function Secret Sharing for Mixed-Mode and Fixed-Point Secure Computation

Secure Medical Image Analysis with CrypTFlow

CrypTFlow2: Practical 2-Party Secure Inference

CrypTFlow: Secure TensorFlow Inference

Explicit Rate-1 Non-malleable Codes for Local Tampering

EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation for Machine Learning

SecureNN: Efficient and Private Neural Network Training

Secure Computation using Leaky Correlations (Asymptotically Optimal Constructions)

Laconic Oblivious Transfer and its Applications

Multi-Input Functional Encryption for Unbounded Arity Functions

Concurrent Secure Computation via Non-Black Box Simulation.

Explicit Non-malleable Codes Against Bit-Wise Tampering and Permutations

Secure Computation from Leaky Correlated Randomness

Hosting Services on an Untrusted Cloud

A Rate-Optimizing Compiler for Non-malleable Codes Against Bit-Wise Tampering and Permutations

On Constant-Round Concurrent Zero-Knowledge from a Knowledge Assumption

Optimizing Obfuscation: Avoiding Barrington’s Theorem

Efficient Round Optimal Blind Signatures

What Information Is Leaked under Concurrent Composition?

Enterprise AI Must Enforce Participant-Aware Access Control

Secure Medical Image Analysis with CrypTFlow

Communication Efficient Secure and Private Multi-Party Deep Learning

Secure Sorting and Selection via Function Secret Sharing

Securely Training Decision Trees Efficiently

SIGMA: Secure GPT Inference with Function Secret Sharing

Orca: FSS-based Secure Training and Inference with GPUs

TRUCE: Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs

Secure Floating-Point Training

End-to-end Privacy Preserving Training and Inference for Air Pollution Forecasting with Data from Rival Fleets

SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost

LLAMA: A Low Latency Math Library for Secure Inference

Circuit-PSI with Linear Complexity via Relaxed Batch OPPRF

SECFLOAT: Accurate Floating-Point meets Secure 2-Party Computation

Secure Featurization and Applications to Secure Phishing Detection

Multi-institution encrypted medical imaging AI validation without data sharing

Efficient Linear Multiparty PSI and Extensions to Circuit/Quorum PSI

SIRNN: A Math Library for Secure RNN Inference

Function Secret Sharing for Mixed-Mode and Fixed-Point Secure Computation

Secure Medical Image Analysis with CrypTFlow

CrypTFlow2: Practical 2-Party Secure Inference

CrypTFlow: Secure TensorFlow Inference

Explicit Rate-1 Non-malleable Codes for Local Tampering

EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation for Machine Learning

SecureNN: Efficient and Private Neural Network Training

Secure Computation using Leaky Correlations (Asymptotically Optimal Constructions)

Laconic Oblivious Transfer and its Applications

Multi-Input Functional Encryption for Unbounded Arity Functions

Concurrent Secure Computation via Non-Black Box Simulation.

Explicit Non-malleable Codes Against Bit-Wise Tampering and Permutations

Secure Computation from Leaky Correlated Randomness

Hosting Services on an Untrusted Cloud

A Rate-Optimizing Compiler for Non-malleable Codes Against Bit-Wise Tampering and Permutations

On Constant-Round Concurrent Zero-Knowledge from a Knowledge Assumption

Optimizing Obfuscation: Avoiding Barrington’s Theorem

Efficient Round Optimal Blind Signatures

What Information Is Leaked under Concurrent Composition?

Secure Medical Image Analysis with CrypTFlow

Secure Medical Image Analysis with CrypTFlow

EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation for Machine Learning

Enterprise AI Must Enforce Participant-Aware Access Control

Communication Efficient Secure and Private Multi-Party Deep Learning