Ahmed Salem

Senior Researcher

출판물

자료 보기:

- Do LLMs Comply Differently During Tests? And Can We Steer That?
  
  Sahar Abdelnabi, Ahmed Salem
  
  NeurIPS 2025 | October 2025
  
  Publication
- Permissive Information-Flow Analysis for Large Language Models
  
  Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Béguelin
  
  Transactions on Machine Learning Research (TMLR) | October 2025
  
  Publication Publication 프로젝트
- Securing AI Agents with Information-Flow Control
  
  Manuel Costa, Boris Köpf, Aashish Kolluri, Andrew Paverd, Mark Russinovich, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
  
  May 2025
  
  DOI Publication Publication 프로젝트 프로젝트
- Hey, That’s My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
  
  Mark Russinovich, Ahmed Salem, Yanan Cai
  
  ICLR 2026 | July 2024
  
  DOI Publication
- Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
  
  Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Ahmed Salem, Rui Wen, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramer, Sahar Abdelnabi, Lea Schönherr
  
  NeurIPS 2024 | June 2024
  
  Preprint 프로젝트
- Bayesian Estimation of Differential Privacy
  
  Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Ruehle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
  
  2023 International Conference on Machine Learning | July 2023
  
  편집자: Barbara Engelhardt, Emma Brunskill, Kyunghyun Cho
  
  Publication 프로젝트
- Two-in-One: A Model Hijacking Attack Against Text Generation Models
  
  Wai Man Si, Michael Backes, Yang Zhang, Ahmed Salem
  
  USENIX Security Symposium | July 2023
  
  Publication
- UnGANable: Defending Against GAN-based Face Manipulation
  
  Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
  
  USENIX Security Symposium | July 2023
  
  Publication
- Analyzing Leakage of Personally Identifiable Information in Language Models
  
  Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
  
  2023 IEEE Symposium on Security and Privacy | May 2023
  
  Publication PDF DOI 프로젝트
- SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
  
  Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin
  
  2023 IEEE Symposium on Security and Privacy | May 2023
  
  Publication PDF DOI 프로젝트

- Do LLMs Comply Differently During Tests? And Can We Steer That?
  
  Sahar Abdelnabi, Ahmed Salem
  
  NeurIPS 2025 | October 2025
  
  Publication
- Permissive Information-Flow Analysis for Large Language Models
  
  Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Béguelin
  
  Transactions on Machine Learning Research (TMLR) | October 2025
  
  Publication Publication 프로젝트
- Securing AI Agents with Information-Flow Control
  
  Manuel Costa, Boris Köpf, Aashish Kolluri, Andrew Paverd, Mark Russinovich, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
  
  May 2025
  
  DOI Publication Publication 프로젝트 프로젝트
- Hey, That’s My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
  
  Mark Russinovich, Ahmed Salem, Yanan Cai
  
  ICLR 2026 | July 2024
  
  DOI Publication
- Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
  
  Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Ahmed Salem, Rui Wen, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramer, Sahar Abdelnabi, Lea Schönherr
  
  NeurIPS 2024 | June 2024
  
  Preprint 프로젝트
- Two-in-One: A Model Hijacking Attack Against Text Generation Models
  
  Wai Man Si, Michael Backes, Yang Zhang, Ahmed Salem
  
  USENIX Security Symposium | July 2023
  
  Publication
- UnGANable: Defending Against GAN-based Face Manipulation
  
  Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
  
  USENIX Security Symposium | July 2023
  
  Publication
- Bayesian Estimation of Differential Privacy
  
  Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Ruehle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
  
  2023 International Conference on Machine Learning | July 2023
  
  편집자: Barbara Engelhardt, Emma Brunskill, Kyunghyun Cho
  
  Publication 프로젝트
- Analyzing Leakage of Personally Identifiable Information in Language Models
  
  Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
  
  2023 IEEE Symposium on Security and Privacy | May 2023
  
  Publication PDF DOI 프로젝트
- SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
  
  Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin
  
  2023 IEEE Symposium on Security and Privacy | May 2023
  
  Publication PDF DOI 프로젝트
- Permissive Information-Flow Analysis for Large Language Models
  
  Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Béguelin
  
  Transactions on Machine Learning Research (TMLR) | October 2025
  
  Publication Publication 프로젝트
- Securing AI Agents with Information-Flow Control
  
  Manuel Costa, Boris Köpf, Aashish Kolluri, Andrew Paverd, Mark Russinovich, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
  
  May 2025
  
  DOI Publication Publication 프로젝트 프로젝트
- Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
  
  Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Ahmed Salem, Rui Wen, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramer, Sahar Abdelnabi, Lea Schönherr
  
  NeurIPS 2024 | June 2024
  
  Preprint 프로젝트
- Two-in-One: A Model Hijacking Attack Against Text Generation Models
  
  Wai Man Si, Michael Backes, Yang Zhang, Ahmed Salem
  
  USENIX Security Symposium | July 2023
  
  Publication
- UnGANable: Defending Against GAN-based Face Manipulation
  
  Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
  
  USENIX Security Symposium | July 2023
  
  Publication
- Bayesian Estimation of Differential Privacy
  
  Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Ruehle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
  
  2023 International Conference on Machine Learning | July 2023
  
  편집자: Barbara Engelhardt, Emma Brunskill, Kyunghyun Cho
  
  Publication 프로젝트
- Analyzing Leakage of Personally Identifiable Information in Language Models
  
  Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
  
  2023 IEEE Symposium on Security and Privacy | May 2023
  
  Publication PDF DOI 프로젝트
- SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
  
  Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin
  
  2023 IEEE Symposium on Security and Privacy | May 2023
  
  Publication PDF DOI 프로젝트

- Do LLMs Comply Differently During Tests? And Can We Steer That?
  
  Sahar Abdelnabi, Ahmed Salem
  
  NeurIPS 2025 | October 2025
  
  Publication
- Hey, That’s My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
  
  Mark Russinovich, Ahmed Salem, Yanan Cai
  
  ICLR 2026 | July 2024
  
  DOI Publication
- Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
  
  Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Ahmed Salem, Rui Wen, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramer, Sahar Abdelnabi, Lea Schönherr
  
  NeurIPS 2024 | June 2024
  
  Preprint 프로젝트
- Two-in-One: A Model Hijacking Attack Against Text Generation Models
  
  Wai Man Si, Michael Backes, Yang Zhang, Ahmed Salem
  
  USENIX Security Symposium | July 2023
  
  Publication
- UnGANable: Defending Against GAN-based Face Manipulation
  
  Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
  
  USENIX Security Symposium | July 2023
  
  Publication
- Bayesian Estimation of Differential Privacy
  
  Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Ruehle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
  
  2023 International Conference on Machine Learning | July 2023
  
  편집자: Barbara Engelhardt, Emma Brunskill, Kyunghyun Cho
  
  Publication 프로젝트
- Analyzing Leakage of Personally Identifiable Information in Language Models
  
  Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
  
  2023 IEEE Symposium on Security and Privacy | May 2023
  
  Publication PDF DOI 프로젝트
- SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
  
  Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin
  
  2023 IEEE Symposium on Security and Privacy | May 2023
  
  Publication PDF DOI 프로젝트
- Permissive Information-Flow Analysis for Large Language Models
  
  Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Béguelin
  
  Transactions on Machine Learning Research (TMLR) | October 2025
  
  Publication Publication 프로젝트
- Securing AI Agents with Information-Flow Control
  
  Manuel Costa, Boris Köpf, Aashish Kolluri, Andrew Paverd, Mark Russinovich, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
  
  May 2025
  
  DOI Publication Publication 프로젝트 프로젝트

Ahmed Salem

출판물

Do LLMs Comply Differently During Tests? And Can We Steer That?

Permissive Information-Flow Analysis for Large Language Models

Securing AI Agents with Information-Flow Control

Hey, That’s My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique

Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition

Bayesian Estimation of Differential Privacy

Two-in-One: A Model Hijacking Attack Against Text Generation Models

UnGANable: Defending Against GAN-based Face Manipulation

Analyzing Leakage of Personally Identifiable Information in Language Models

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning

Do LLMs Comply Differently During Tests? And Can We Steer That?

Permissive Information-Flow Analysis for Large Language Models

Securing AI Agents with Information-Flow Control

Hey, That’s My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique

Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition

Two-in-One: A Model Hijacking Attack Against Text Generation Models

UnGANable: Defending Against GAN-based Face Manipulation

Bayesian Estimation of Differential Privacy

Analyzing Leakage of Personally Identifiable Information in Language Models

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning

Permissive Information-Flow Analysis for Large Language Models

Securing AI Agents with Information-Flow Control

Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition

Two-in-One: A Model Hijacking Attack Against Text Generation Models

UnGANable: Defending Against GAN-based Face Manipulation

Bayesian Estimation of Differential Privacy

Analyzing Leakage of Personally Identifiable Information in Language Models

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning

Do LLMs Comply Differently During Tests? And Can We Steer That?

Hey, That’s My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique

Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition

Two-in-One: A Model Hijacking Attack Against Text Generation Models

UnGANable: Defending Against GAN-based Face Manipulation

Bayesian Estimation of Differential Privacy

Analyzing Leakage of Personally Identifiable Information in Language Models

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning

Permissive Information-Flow Analysis for Large Language Models

Securing AI Agents with Information-Flow Control