Shruti Tople

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 54

Top Topics

Homomorphic Encryption

Differentially Private

Bayesian Estimation

Top Venues

IACR Cryptol. ePrint Arch.

USENIX Security Symposium

Publications

Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella Béguelin
Closed-Form Bounds for DP-SGD against Record-level Inference. USENIX Security Symposium (2024)
Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella Béguelin
Closed-Form Bounds for DP-SGD against Record-level Inference. CoRR (2024)
Ana-Maria Cretu, Daniel Jones, Yves-Alexandre de Montjoye, Shruti Tople
Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting. Proc. Priv. Enhancing Technol. 2024 (3) (2024)
Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople
Invariant Aggregator for Defending against Federated Backdoor Attacks. AISTATS (2024)
Santiago Zanella Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
Bayesian Estimation of Differential Privacy. ICML (2023)
Valentin Hartmann, Anshuman Suri, Vincent Bindschaedler, David Evans, Shruti Tople, Robert West
SoK: Memorization in General-Purpose Large Language Models. CoRR (2023)
Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella Béguelin
Analyzing Leakage of Personally Identifiable Information in Language Models. CoRR (2023)
Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella Béguelin, Richard E. Turner, Antti Honkela
On the Efficacy of Differentially Private Few-shot Image Classification. Trans. Mach. Learn. Res. 2023 (2023)
Ana-Maria Cretu, Daniel Jones, Yves-Alexandre de Montjoye, Shruti Tople
Re-aligning Shadow Models can Improve White-box Membership Inference Attacks. CoRR (2023)
Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella Béguelin
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. SP (2023)
Jihye Choi, Shruti Tople, Varun Chandrasekaran, Somesh Jha
Why Train More? Effective and Efficient Membership Inference via Memorization. CoRR (2023)
Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella Béguelin, Richard E. Turner, Antti Honkela
On the Efficacy of Differentially Private Few-shot Image Classification. CoRR (2023)
Lukas Wutschitz, Boris Köpf, Andrew Paverd, Saravan Rajmohan, Ahmed Salem, Shruti Tople, Santiago Zanella Béguelin, Menglin Xia, Victor Rühle
Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective. CoRR (2023)
Valentin Hartmann, Léo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West
Distribution Inference Risks: Identifying and Mitigating Sources of Leakage. SaTML (2023)
Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella Béguelin
Analyzing Leakage of Personally Identifiable Information in Language Models. SP (2023)
Valentin Hartmann, Léo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West
Distribution inference risks: Identifying and mitigating sources of leakage. CoRR (2022)
Santiago Zanella Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
Bayesian Estimation of Differential Privacy. CoRR (2022)
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
Mace: A flexible framework for membership privacy estimation in generative models. Trans. Mach. Learn. Res. 2022 (2022)
Teodora Baluta, Shiqi Shen, S. Hitarth, Shruti Tople, Prateek Saxena
Membership Inference Attacks and Generalization: A Causal Perspective. CCS (2022)
Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella Béguelin
SoK: Let The Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. CoRR (2022)
Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople
Invariant Aggregator for Defending Federated Backdoor Attacks. CoRR (2022)
Teodora Baluta, Shiqi Shen, S. Hitarth, Shruti Tople, Prateek Saxena
Membership Inference Attacks and Generalization: A Causal Perspective. CoRR (2022)
Santiago Zanella Béguelin, Shruti Tople, Andrew Paverd, Boris Köpf
Grey-box Extraction of Natural Language Models. ICML (2021)
Divyat Mahajan, Shruti Tople, Amit Sharma
Domain Generalization using Causal Matching. ICML (2021)
Wanrong Zhang, Shruti Tople, Olga Ohrimenko
Leakage of Dataset Properties in Multi-Party Machine Learning. USENIX Security Symposium (2021)
Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin
Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning. Proc. Priv. Enhancing Technol. 2021 (1) (2021)
Varun Chandrasekaran, Darren Edge, Somesh Jha, Amit Sharma, Cheng Zhang, Shruti Tople
Causally Constrained Data Synthesis for Private Data Release. CoRR (2021)
Divyat Mahajan, Shruti Tople, Amit Sharma
The Connection between Out-of-Distribution Generalization and Privacy of ML Models. CoRR (2021)
Divyat Mahajan, Shruti Tople, Amit Sharma
Domain Generalization using Causal Matching. CoRR (2020)
Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning. CoRR (2020)
Yaoqi Jia, Shruti Tople, Tarik Moataz, Deli Gong, Prateek Saxena, Zhenkai Liang
Robust P2P Primitives Using SGX Enclaves. RAID (2020)
Anshul Aggarwal, Trevor E. Carlson, Reza Shokri, Shruti Tople
SOTERIA: In Search of Efficient Neural Networks for Private Inference. CoRR (2020)
Shruti Tople, Amit Sharma, Aditya Nori
Alleviating Privacy Attacks via Causal Learning. ICML (2020)
Dongge Han, Shruti Tople, Alex Rogers, Michael J. Wooldridge, Olga Ohrimenko, Sebastian Tschiatschek
Replication-Robust Payoff-Allocation with Applications in Machine Learning Marketplaces. CoRR (2020)
Yaoqi Jia, Shruti Tople, Tarik Moataz, Deli Gong, Prateek Saxena, Zhenkai Liang
Robust P2P Primitives Using SGX Enclaves. ICDCS (2020)
Wanrong Zhang, Shruti Tople, Olga Ohrimenko
Dataset-Level Attribute Leakage in Collaborative Learning. CoRR (2020)
Bijeeta Pal, Shruti Tople
To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers. CoRR (2020)
Santiago Zanella Béguelin, Lukas Wutschitz, Shruti Tople, Victor Rühle, Andrew Paverd, Olga Ohrimenko, Boris Köpf, Marc Brockschmidt
Analyzing Information Leakage of Updates to Natural Language Models. CCS (2020)
Stephanie L. Hyland, Shruti Tople
On the Intrinsic Privacy of Stochastic Gradient Descent. CoRR (2019)
Olga Ohrimenko, Shruti Tople, Sebastian Tschiatschek
Collaborative Machine Learning Markets with Data-Replication-Robust Payments. CoRR (2019)
Shruti Tople, Marc Brockschmidt, Boris Köpf, Olga Ohrimenko, Santiago Zanella Béguelin
Analyzing Privacy Loss in Updates of Natural Language Models. CoRR (2019)
Shruti Tople, Amit Sharma, Aditya Nori
Alleviating Privacy Attacks via Causal Learning. CoRR (2019)
Shruti Tople, Yaoqi Jia, Prateek Saxena
PRO-ORAM: Practical Read-Only Oblivious RAM. RAID (2019)
Shruti Tople, Karan Grover, Shweta Shinde, Ranjita Bhagwan, Ramachandran Ramjee
Privado: Practical and Secure DNN Inference. CoRR (2018)
Shruti Tople, Soyeon Park, Min Suk Kang, Prateek Saxena
VeriCount: Verifiable Resource Accounting Using Hardware and Software Isolation. ACNS (2018)
Shruti Tople, Yaoqi Jia, Prateek Saxena
PRO-ORAM: Constant Latency Read-Only Oblivious RAM. IACR Cryptol. ePrint Arch. 2018 (2018)
Shweta Shinde, Dat Le Tien, Shruti Tople, Prateek Saxena
Panoply: Low-TCB Linux Applications With SGX Enclaves. NDSS (2017)
Amrit Kumar, Clément Fischer, Shruti Tople, Prateek Saxena
A Traceability Analysis of Monero's Blockchain. IACR Cryptol. ePrint Arch. 2017 (2017)
Amrit Kumar, Clément Fischer, Shruti Tople, Prateek Saxena
A Traceability Analysis of Monero's Blockchain. ESORICS (2) (2017)
Yaoqi Jia, Shruti Tople, Tarik Moataz, Deli Gong, Prateek Saxena, Zhenkai Liang
Robust Synchronous P2P Primitives Using SGX Enclaves. IACR Cryptol. ePrint Arch. 2017 (2017)
Shruti Tople, Prateek Saxena
On the Trade-Offs in Oblivious Execution Techniques. DIMVA (2017)
Shruti Tople, Hung Dang, Prateek Saxena, Ee-Chien Chang
PermuteRam: Optimizing Oblivious Computation for Efficiency. IACR Cryptol. ePrint Arch. 2017 (2017)
Yaoqi Jia, Tarik Moataz, Shruti Tople, Prateek Saxena
OblivP2P: An Oblivious Peer-to-Peer Content Sharing System. USENIX Security Symposium (2016)
Shiqi Shen, Shruti Tople, Prateek Saxena
Auror: defending against poisoning attacks in collaborative deep learning systems. ACSAC (2016)
Hoon Wei Lim, Shruti Tople, Prateek Saxena, Ee-Chien Chang
Faster Secure Arithmetic Computation Using Switchable Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2014 (2014)
Shruti Tople, Shweta Shinde, Zhaofeng Chen, Prateek Saxena
AUTOCRYPT: enabling homomorphic computation on servers to protect sensitive web content. CCS (2013)
Xinshu Dong, Zhaofeng Chen, Hossein Siadati, Shruti Tople, Prateek Saxena, Zhenkai Liang
Protecting sensitive web content from client-side vulnerabilities with CRYPTONS. CCS (2013)