Tople, Shruti

11 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 2025 The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Beguelin, Shruti Tople, Reza Shokri

AISTATS 2024 Invariant Aggregator for Defending Against Federated Backdoor Attacks Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople

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

TMLR 2022 Mace: A Flexible Framework for Membership Privacy Estimation in Generative Models Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul M Dodhia, Juan M Lavista Ferres

ICML 2021 Domain Generalization Using Causal Matching Divyat Mahajan, Shruti Tople, Amit Sharma

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

ICML 2020 Alleviating Privacy Attacks via Causal Learning Shruti Tople, Amit Sharma, Aditya Nori