Paverd, Andrew

6 publications

TMLR 2025 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-Beguelin

ICML 2023 Bayesian Estimation of Differential Privacy Santiago Zanella-Beguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones

ICLRW 2023 Differentially Private Federated Few-Shot Image Classification Aliaksandra Shysheya, Marlon Tobaben, John F Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Beguelin, Richard E Turner, Antti Honkela

TMLR 2023 On the Efficacy of Differentially Private Few-Shot Image Classification Marlon Tobaben, Aliaksandra Shysheya, John F Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Beguelin, Richard E Turner, Antti Honkela

ICLRW 2023 On the Efficacy of Differentially Private Few-Shot Image Classification Marlon Tobaben, Aliaksandra Shysheya, John F Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Beguelin, Richard E Turner, Antti Honkela

ICML 2021 Grey-Box Extraction of Natural Language Models Santiago Zanella-Beguelin, Shruti Tople, Andrew Paverd, Boris Köpf