Publication 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 Project
Publication Stealing Part of a Production Language Model Nicholas Carlini, Daniel Paleka, Krishnamurthy Dj Dvijotham, Thomas Steinke, Jonathan Hayase, A. Feder Cooper, Katherine Lee, Matthew Jagielski, Milad Nasr, Arthur Conmy, Itay Yona, Eric Wallace, David Rolnick, Florian Tramèr ICML 2024 | July 2024 Best Paper
Publication Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models Bin Benjamin Zhu 2024 International Conference on Machine Learning | July 2024
Publication TrustRate: A Decentralized Platform for Hijack-Resistant Anonymous Reviews Rohit Dwivedula, Sriram Sridhar, Sambhav Satija, Muthian Sivathanu, Nishanth Chandran , Divya Gupta, Satya Lokam July 2024 https://arxiv.org/abs/2402.18386
Publication SLIP: Securing LLMs IP Using Weights Decomposition Yehonathan Refael, Adam Hakim, Lev Greenberg, Tal Aviv, Satya Lokam, Ben Fishman, Shachar Seidman ArXiv | July 2024, Vol abs/2407.10886
Publication VeriSMo: A Verified Security Module for Confidential VMs Ziqiao Zhou, Anjali, Weiteng Chen, Sishuai Gong, Chris Hawblitzel, Weidong Cui OSDI 2024 | July 2024 Jay Lepreau Best Paper Award Awarded Best Paper! Github Project
Publication Statistic Maximal Leakage Shuaiqi Wang, Zinan Lin, Giulia Fanti IEEE International Symposium on Information Theory 2024 | July 2024 Project
Publication Can LLMs be Fooled? Investigating Vulnerabilities in LLMs Sara Abdali, Jia He, CJ Barberan, Richard Anarfi July 2024
Publication Differentially Private Synthetic Data via Foundation Model APIs 2: Text Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin ICML 2024 | July 2024 Spotlight Project