Increasing the Cost of Model Extraction with Calibrated Proof of Work. - Adam Dziedzic; Muhammad Ahmad Kaleem; Yu Shen Lu; Nicolas Papernot (ICLR, 2022)

On the Difficulty of Defending Self-Supervised Learning against Model Extraction. - Adam Dziedzic; Nikita Dhawan; Muhammad Ahmad Kaleem; Jonas Guan; Nicolas Papernot (ICML, 2022)

Dataset Inference for Self-Supervised Models. - Adam Dziedzic; Haonan Duan 002; Muhammad Ahmad Kaleem; Nikita Dhawan; Jonas Guan; Yannis Cattan; Franziska Boenisch; Nicolas Papernot (NeurIPS, 2022)

Robust and Actively Secure Serverless Collaborative Learning. - Nicholas Franzese; Adam Dziedzic; Christopher A. Choquette-Choo; Mark R. Thomas; Muhammad Ahmad Kaleem; Stephan Rabanser; Congyu Fang; Somesh Jha; Nicolas Papernot; Xiao Wang 012 (NeurIPS, 2023)

Robust and Actively Secure Serverless Collaborative Learning. - Olive Franzese; Adam Dziedzic; Christopher A. Choquette-Choo; Mark R. Thomas; Muhammad Ahmad Kaleem; Stephan Rabanser; Congyu Fang; Somesh Jha; Nicolas Papernot; Xiao Wang 012 (CoRR, 2023)

Private Multi-Winner Voting for Machine Learning. - Adam Dziedzic; Christopher A. Choquette-Choo; Natalie Dullerud; Vinith M. Suriyakumar; Ali Shahin Shamsabadi; Muhammad Ahmad Kaleem; Somesh Jha; Nicolas Papernot; Xiao Wang 012 (Proc. Priv. Enhancing Technol., 2023)

Memorization in Self-Supervised Learning Improves Downstream Generalization. - Wenhao Wang; Muhammad Ahmad Kaleem; Adam Dziedzic; Michael Backes 001; Nicolas Papernot; Franziska Boenisch (ICLR, 2024)

Subset Adaptive Relaying for Streaming Erasure Codes. - Muhammad Ahmad Kaleem; Gustavo Kasper Facenda; Ashish Khisti (ISIT, 2024)