84 citations · 105 across the 5 of their papers we have counts for
6 papers
Are Attribute Inference Attacks Just Imputation?
Bargav Jayaraman, David Evans
Models can expose sensitive information about their training data. In an attribute inference attack, an adversary has partial knowledge of some training records and access to a mod…
Combing for Credentials: Active Pattern Extraction from Smart Reply
Bargav Jayaraman, Esha Ghosh, Melissa Chase +3
Pre-trained large language models, such as GPT\nobreakdash-2 and BERT, are often fine-tuned to achieve state-of-the-art performance on a downstream task. One natural example is the…
Revisiting Membership Inference Under Realistic Assumptions
Bargav Jayaraman, Lingxiao Wang, Katherine Knipmeyer +2
We study membership inference in settings where some of the assumptions typically used in previous research are relaxed. First, we consider skewed priors, to cover cases such as wh…
Efficient Privacy-Preserving Stochastic Nonconvex Optimization
Lingxiao Wang, Bargav Jayaraman, David Evans +1
While many solutions for privacy-preserving convex empirical risk minimization (ERM) have been developed, privacy-preserving nonconvex ERM remains a challenge. We study nonconvex E…
Evaluating Differentially Private Machine Learning in Practice
Bargav Jayaraman, David Evans
Differential privacy is a strong notion for privacy that can be used to prove formal guarantees, in terms of a privacy budget, , about how much information is leaked by a mechan…
Decentralized Certificate Authorities
Bargav Jayaraman, Hannah Li, David Evans
The security of TLS depends on trust in certificate authorities, and that trust stems from their ability to protect and control the use of a private signing key. The signing key is…