Shruti Tople

According to our database, Shruti Tople authored at least 45 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting.

Ana-Maria Cretu, Daniel Jones, Yves-Alexandre de Montjoye, Shruti Tople

Proc. Priv. Enhancing Technol., 2024

Closed-Form Bounds for DP-SGD against Record-level Inference.

Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella Béguelin

Proceedings of the 33rd USENIX Security Symposium, 2024

Invariant Aggregator for Defending against Federated Backdoor Attacks.

Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

On the Efficacy of Differentially Private Few-shot Image Classification.

Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella Béguelin, Richard E. Turner, Antti Honkela

Trans. Mach. Learn. Res., 2023

Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective.

Lukas Wutschitz, Boris Köpf, Andrew Paverd, Saravan Rajmohan, Ahmed Salem, Shruti Tople, Santiago Zanella Béguelin, Menglin Xia, Victor Rühle

CoRR, 2023

SoK: Memorization in General-Purpose Large Language Models.

Valentin Hartmann, Anshuman Suri, Vincent Bindschaedler, David Evans, Shruti Tople, Robert West

CoRR, 2023

Why Train More? Effective and Efficient Membership Inference via Memorization.

Jihye Choi, Shruti Tople, Varun Chandrasekaran, Somesh Jha

CoRR, 2023

Re-aligning Shadow Models can Improve White-box Membership Inference Attacks.

Ana-Maria Cretu, Daniel Jones, Yves-Alexandre de Montjoye, Shruti Tople

CoRR, 2023

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning.

Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella Béguelin

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Analyzing Leakage of Personally Identifiable Information in Language Models.

Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella Béguelin

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Distribution Inference Risks: Identifying and Mitigating Sources of Leakage.

Valentin Hartmann, Léo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Bayesian Estimation of Differential Privacy.

Santiago Zanella Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones

Proceedings of the International Conference on Machine Learning, 2023

2022

Mace: A flexible framework for membership privacy estimation in generative models.

Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres

Trans. Mach. Learn. Res., 2022

Invariant Aggregator for Defending Federated Backdoor Attacks.

Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople

CoRR, 2022

Membership Inference Attacks and Generalization: A Causal Perspective.

Teodora Baluta, Shiqi Shen, S. Hitarth, Shruti Tople, Prateek Saxena

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning.

Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin

Proc. Priv. Enhancing Technol., 2021

The Connection between Out-of-Distribution Generalization and Privacy of ML Models.

Divyat Mahajan, Shruti Tople, Amit Sharma

CoRR, 2021

Causally Constrained Data Synthesis for Private Data Release.

Varun Chandrasekaran, Darren Edge, Somesh Jha, Amit Sharma, Cheng Zhang, Shruti Tople

CoRR, 2021

Leakage of Dataset Properties in Multi-Party Machine Learning.

Wanrong Zhang, Shruti Tople, Olga Ohrimenko

Proceedings of the 30th USENIX Security Symposium, 2021

Domain Generalization using Causal Matching.

Divyat Mahajan, Shruti Tople, Amit Sharma

Proceedings of the 38th International Conference on Machine Learning, 2021

Grey-box Extraction of Natural Language Models.

Santiago Zanella Béguelin, Shruti Tople, Andrew Paverd, Boris Köpf

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

SOTERIA: In Search of Efficient Neural Networks for Private Inference.

Anshul Aggarwal, Trevor E. Carlson, Reza Shokri, Shruti Tople

CoRR, 2020

Replication-Robust Payoff-Allocation with Applications in Machine Learning Marketplaces.

Dongge Han, Shruti Tople, Alex Rogers, Michael J. Wooldridge, Olga Ohrimenko, Sebastian Tschiatschek

CoRR, 2020

Dataset-Level Attribute Leakage in Collaborative Learning.

Wanrong Zhang, Shruti Tople, Olga Ohrimenko

CoRR, 2020

To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers.

Bijeeta Pal, Shruti Tople

CoRR, 2020

Alleviating Privacy Attacks via Causal Learning.

Shruti Tople, Amit Sharma, Aditya Nori

Proceedings of the 37th International Conference on Machine Learning, 2020

Robust P2P Primitives Using SGX Enclaves.

Yaoqi Jia, Shruti Tople, Tarik Moataz, Deli Gong, Prateek Saxena, Zhenkai Liang

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Analyzing Information Leakage of Updates to Natural Language Models.

Santiago Zanella Béguelin, Lukas Wutschitz, Shruti Tople, Victor Rühle, Andrew Paverd, Olga Ohrimenko, Boris Köpf, Marc Brockschmidt

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

Analyzing Privacy Loss in Updates of Natural Language Models.

Shruti Tople, Marc Brockschmidt, Boris Köpf, Olga Ohrimenko, Santiago Zanella Béguelin

CoRR, 2019

On the Intrinsic Privacy of Stochastic Gradient Descent.

Stephanie L. Hyland, Shruti Tople

CoRR, 2019

Collaborative Machine Learning Markets with Data-Replication-Robust Payments.

Olga Ohrimenko, Shruti Tople, Sebastian Tschiatschek

CoRR, 2019

PRO-ORAM: Practical Read-Only Oblivious RAM.

Shruti Tople, Yaoqi Jia, Prateek Saxena

Proceedings of the 22nd International Symposium on Research in Attacks, 2019

2018

PRO-ORAM: Constant Latency Read-Only Oblivious RAM.

Shruti Tople, Yaoqi Jia, Prateek Saxena

IACR Cryptol. ePrint Arch., 2018

Privado: Practical and Secure DNN Inference.

Shruti Tople, Karan Grover, Shweta Shinde, Ranjita Bhagwan, Ramachandran Ramjee

CoRR, 2018

VeriCount: Verifiable Resource Accounting Using Hardware and Software Isolation.

Shruti Tople, Soyeon Park, Min Suk Kang, Prateek Saxena

Proceedings of the Applied Cryptography and Network Security, 2018

2017

PermuteRam: Optimizing Oblivious Computation for Efficiency.

Shruti Tople, Hung Dang, Prateek Saxena, Ee-Chien Chang

IACR Cryptol. ePrint Arch., 2017

A Traceability Analysis of Monero's Blockchain.

Amrit Kumar, Clément Fischer, Shruti Tople, Prateek Saxena

IACR Cryptol. ePrint Arch., 2017

Robust Synchronous P2P Primitives Using SGX Enclaves.

Yaoqi Jia, Shruti Tople, Tarik Moataz, Deli Gong, Prateek Saxena, Zhenkai Liang

IACR Cryptol. ePrint Arch., 2017

Panoply: Low-TCB Linux Applications With SGX Enclaves.

Shweta Shinde, Dat Le Tien, Shruti Tople, Prateek Saxena

Proceedings of the 24th Annual Network and Distributed System Security Symposium, 2017

On the Trade-Offs in Oblivious Execution Techniques.

Shruti Tople, Prateek Saxena

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2017

2016

OblivP2P: An Oblivious Peer-to-Peer Content Sharing System.

Yaoqi Jia, Tarik Moataz, Shruti Tople, Prateek Saxena

Proceedings of the 25th USENIX Security Symposium, 2016

Auror: defending against poisoning attacks in collaborative deep learning systems.

Shiqi Shen, Shruti Tople, Prateek Saxena

Proceedings of the 32nd Annual Conference on Computer Security Applications, 2016

2014

Faster Secure Arithmetic Computation Using Switchable Homomorphic Encryption.

Hoon Wei Lim, Shruti Tople, Prateek Saxena, Ee-Chien Chang

IACR Cryptol. ePrint Arch., 2014

2013

AUTOCRYPT: enabling homomorphic computation on servers to protect sensitive web content.

Shruti Tople, Shweta Shinde, Zhaofeng Chen, Prateek Saxena

Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security, 2013

Protecting sensitive web content from client-side vulnerabilities with CRYPTONS.

Xinshu Dong, Zhaofeng Chen, Hossein Siadati, Shruti Tople, Prateek Saxena, Zhenkai Liang

Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security, 2013