Shruti Tople - RankMe

63 papers A* 15A 5B 2Journal 39Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimizing Agent Planning for Security and Autonomy. CoRR Aashish Kolluri, Rishi Sharma, Manuel Costa, Boris Köpf, Tobias Nießen, Mark Russinovich, Shruti Tople, Santiago Zanella-Béguelin
2025	J	`jnl`	Permissive Information-Flow Analysis for Large Language Models. Trans. Mach. Learn. Res. Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Béguelin
2025	J	`jnl`	Securing AI Agents with Information-Flow Control. CoRR Manuel Costa, Boris Köpf, Aashish Kolluri, Andrew Paverd, Mark Russinovich, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
2025	A*	`conf`	The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text. ICML Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Shruti Tople, Reza Shokri
2025	J	`jnl`	The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text. CoRR Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Shruti Tople, Reza Shokri
2024	A*	`conf`	Closed-Form Bounds for DP-SGD against Record-level Inference. USENIX Security Symposium Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
2024	J	`jnl`	Closed-Form Bounds for DP-SGD against Record-level Inference. CoRR Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
2024	A	`conf`	Invariant Aggregator for Defending against Federated Backdoor Attacks. AISTATS Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople
2024	J	`jnl`	Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting. Proc. Priv. Enhancing Technol. Ana-Maria Cretu, Daniel Jones, Yves-Alexandre de Montjoye, Shruti Tople
2024	J	`jnl`	Permissive Information-Flow Analysis for Large Language Models. CoRR Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Béguelin
2023	A*	`conf`	Analyzing Leakage of Personally Identifiable Information in Language Models. SP Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
2023	J	`jnl`	Analyzing Leakage of Personally Identifiable Information in Language Models. CoRR Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
2023	A*	`conf`	Bayesian Estimation of Differential Privacy. ICML Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
2023	—	`conf`	Distribution Inference Risks: Identifying and Mitigating Sources of Leakage. SaTML Valentin Hartmann, Léo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West
2023	J	`jnl`	On the Efficacy of Differentially Private Few-shot Image Classification. CoRR Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Béguelin, Richard E. Turner, Antti Honkela
2023	J	`jnl`	On the Efficacy of Differentially Private Few-shot Image Classification. Trans. Mach. Learn. Res. Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Béguelin, Richard E. Turner, Antti Honkela
2023	J	`jnl`	Re-aligning Shadow Models can Improve White-box Membership Inference Attacks. CoRR Ana-Maria Cretu, Daniel Jones, Yves-Alexandre de Montjoye, Shruti Tople
2023	J	`jnl`	Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective. CoRR Lukas Wutschitz, Boris Köpf, Andrew Paverd, Saravan Rajmohan, Ahmed Salem, Shruti Tople, Santiago Zanella-Béguelin, Menglin Xia, Victor Rühle
2023	A*	`conf`	SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. SP Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin
2023	J	`jnl`	SoK: Memorization in General-Purpose Large Language Models. CoRR Valentin Hartmann, Anshuman Suri, Vincent Bindschaedler, David Evans, Shruti Tople, Robert West
2023	J	`jnl`	Why Train More? Effective and Efficient Membership Inference via Memorization. CoRR Jihye Choi, Shruti Tople, Varun Chandrasekaran, Somesh Jha
2022	J	`jnl`	Bayesian Estimation of Differential Privacy. CoRR Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
2022	J	`jnl`	Distribution inference risks: Identifying and mitigating sources of leakage. CoRR Valentin Hartmann, Léo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West
2022	J	`jnl`	Invariant Aggregator for Defending Federated Backdoor Attacks. CoRR Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople
2022	J	`jnl`	Mace: A flexible framework for membership privacy estimation in generative models. Trans. Mach. Learn. Res. Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
2022	A*	`conf`	Membership Inference Attacks and Generalization: A Causal Perspective. CCS Teodora Baluta, Shiqi Shen, S. Hitarth, Shruti Tople, Prateek Saxena
2022	J	`jnl`	Membership Inference Attacks and Generalization: A Causal Perspective. CoRR Teodora Baluta, Shiqi Shen, S. Hitarth, Shruti Tople, Prateek Saxena
2022	J	`jnl`	SoK: Let The Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. CoRR Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin
2021	J	`jnl`	Causally Constrained Data Synthesis for Private Data Release. CoRR Varun Chandrasekaran, Darren Edge, Somesh Jha, Amit Sharma, Cheng Zhang, Shruti Tople
2021	A*	`conf`	Domain Generalization using Causal Matching. ICML Divyat Mahajan, Shruti Tople, Amit Sharma
2021	J	`jnl`	Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning. Proc. Priv. Enhancing Technol. Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin
2021	A*	`conf`	Grey-box Extraction of Natural Language Models. ICML Santiago Zanella-Béguelin, Shruti Tople, Andrew Paverd, Boris Köpf
2021	A*	`conf`	Leakage of Dataset Properties in Multi-Party Machine Learning. USENIX Security Symposium Wanrong Zhang, Shruti Tople, Olga Ohrimenko
2021	J	`jnl`	The Connection between Out-of-Distribution Generalization and Privacy of ML Models. CoRR Divyat Mahajan, Shruti Tople, Amit Sharma
2020	A*	`conf`	Alleviating Privacy Attacks via Causal Learning. ICML Shruti Tople, Amit Sharma, Aditya Nori
2020	A*	`conf`	Analyzing Information Leakage of Updates to Natural Language Models. CCS Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Victor Rühle, Andrew Paverd, Olga Ohrimenko, Boris Köpf, Marc Brockschmidt
2020	J	`jnl`	Dataset-Level Attribute Leakage in Collaborative Learning. CoRR Wanrong Zhang, Shruti Tople, Olga Ohrimenko
2020	J	`jnl`	Domain Generalization using Causal Matching. CoRR Divyat Mahajan, Shruti Tople, Amit Sharma
2020	J	`jnl`	FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning. CoRR Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin
2020	J	`jnl`	Replication-Robust Payoff-Allocation with Applications in Machine Learning Marketplaces. CoRR Dongge Han, Shruti Tople, Alex Rogers, Michael J. Wooldridge, Olga Ohrimenko, Sebastian Tschiatschek
2020	A	`conf`	Robust P2P Primitives Using SGX Enclaves. ICDCS Yaoqi Jia, Shruti Tople, Tarik Moataz, Deli Gong, Prateek Saxena, Zhenkai Liang
2020	A	`conf`	Robust P2P Primitives Using SGX Enclaves. RAID Yaoqi Jia, Shruti Tople, Tarik Moataz, Deli Gong, Prateek Saxena, Zhenkai Liang
2020	J	`jnl`	SOTERIA: In Search of Efficient Neural Networks for Private Inference. CoRR Anshul Aggarwal, Trevor E. Carlson, Reza Shokri, Shruti Tople
2020	J	`jnl`	To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers. CoRR Bijeeta Pal, Shruti Tople
2019	J	`jnl`	Alleviating Privacy Attacks via Causal Learning. CoRR Shruti Tople, Amit Sharma, Aditya Nori
2019	J	`jnl`	Analyzing Privacy Loss in Updates of Natural Language Models. CoRR Shruti Tople, Marc Brockschmidt, Boris Köpf, Olga Ohrimenko, Santiago Zanella-Béguelin
2019	J	`jnl`	Collaborative Machine Learning Markets with Data-Replication-Robust Payments. CoRR Olga Ohrimenko, Shruti Tople, Sebastian Tschiatschek
2019	J	`jnl`	On the Intrinsic Privacy of Stochastic Gradient Descent. CoRR Stephanie L. Hyland, Shruti Tople
2019	A	`conf`	PRO-ORAM: Practical Read-Only Oblivious RAM. RAID Shruti Tople, Yaoqi Jia, Prateek Saxena
2018	J	`jnl`	PRO-ORAM: Constant Latency Read-Only Oblivious RAM. IACR Cryptol. ePrint Arch. Shruti Tople, Yaoqi Jia, Prateek Saxena
2018	J	`jnl`	Privado: Practical and Secure DNN Inference. CoRR Shruti Tople, Karan Grover, Shweta Shinde, Ranjita Bhagwan, Ramachandran Ramjee
2018	B	`conf`	VeriCount: Verifiable Resource Accounting Using Hardware and Software Isolation. ACNS Shruti Tople, Soyeon Park, Min Suk Kang, Prateek Saxena
2017	—	`conf`	A Traceability Analysis of Monero's Blockchain. ESORICS (2) Amrit Kumar, Clément Fischer, Shruti Tople, Prateek Saxena
2017	J	`jnl`	A Traceability Analysis of Monero's Blockchain. IACR Cryptol. ePrint Arch. Amrit Kumar, Clément Fischer, Shruti Tople, Prateek Saxena
2017	B	`conf`	On the Trade-Offs in Oblivious Execution Techniques. DIMVA Shruti Tople, Prateek Saxena
2017	A*	`conf`	Panoply: Low-TCB Linux Applications With SGX Enclaves. NDSS Shweta Shinde, Dat Le Tien, Shruti Tople, Prateek Saxena
2017	J	`jnl`	PermuteRam: Optimizing Oblivious Computation for Efficiency. IACR Cryptol. ePrint Arch. Shruti Tople, Hung Dang, Prateek Saxena, Ee-Chien Chang
2017	J	`jnl`	Robust Synchronous P2P Primitives Using SGX Enclaves. IACR Cryptol. ePrint Arch. Yaoqi Jia, Shruti Tople, Tarik Moataz, Deli Gong, Prateek Saxena, Zhenkai Liang
2016	A	`conf`	Auror: defending against poisoning attacks in collaborative deep learning systems. ACSAC Shiqi Shen, Shruti Tople, Prateek Saxena
2016	A*	`conf`	OblivP2P: An Oblivious Peer-to-Peer Content Sharing System. USENIX Security Symposium Yaoqi Jia, Tarik Moataz, Shruti Tople, Prateek Saxena
2014	J	`jnl`	Faster Secure Arithmetic Computation Using Switchable Homomorphic Encryption. IACR Cryptol. ePrint Arch. Hoon Wei Lim, Shruti Tople, Prateek Saxena, Ee-Chien Chang
2013	A*	`conf`	AUTOCRYPT: enabling homomorphic computation on servers to protect sensitive web content. CCS Shruti Tople, Shweta Shinde, Zhaofeng Chen, Prateek Saxena
2013	A*	`conf`	Protecting sensitive web content from client-side vulnerabilities with CRYPTONS. CCS Xinshu Dong, Zhaofeng Chen, Hossein Siadati, Shruti Tople, Prateek Saxena, Zhenkai Liang