Bargav Jayaraman

According to our database1, Bargav Jayaraman authored at least 13 papers between 2015 and 2024.

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Bibliography

2024
Déjà Vu Memorization in Vision-Language Models.
CoRR, 2024

2023
Efficient Privacy-Preserving Stochastic Nonconvex Optimization.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022
Active Data Pattern Extraction Attacks on Generative Language Models.
CoRR, 2022

Are Attribute Inference Attacks Just Imputation?
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
Revisiting Membership Inference Under Realistic Assumptions.
Proc. Priv. Enhancing Technol., 2021

2020
Revisiting Membership Inference Under Realistic Assumptions.
CoRR, 2020

2019
Efficient Privacy-Preserving Nonconvex Optimization.
CoRR, 2019

When Relaxations Go Bad: "Differentially-Private" Machine Learning.
CoRR, 2019

Evaluating Differentially Private Machine Learning in Practice.
Proceedings of the 28th USENIX Security Symposium, 2019

2018
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Decentralized Certificate Authorities.
CoRR, 2017

Detecting Vague Words & Phrases in Requirements Documents in a Multilingual Environment.
Proceedings of the 25th IEEE International Requirements Engineering Conference, 2017

2015
Privacy Preserving String Matching for Cloud Computing.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015


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