Bargav Jayaraman
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Cryptography and Data Security, Adversarial Robustness in Machine Learning, Stochastic Gradient Optimization Techniques, Topic Modeling
Most-Cited Works
- Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization(2018)
- → Evaluating Differentially Private Machine Learning in Practice(2019)85 cited
- → Revisiting Membership Inference Under Realistic Assumptions(2021)72 cited
- → Are Attribute Inference Attacks Just Imputation?(2022)42 cited
- → An Introduction to Vision-Language Modeling(2024)33 cited
- → Privacy Preserving String Matching for Cloud Computing(2015)27 cited
- Efficient Privacy-Preserving Nonconvex Optimization.(2019)
- → Detecting Vague Words & Phrases in Requirements Documents in a Multilingual Environment(2017)14 cited
- → Efficient Privacy-Preserving Stochastic Nonconvex Optimization(2019)11 cited