Privacy Preserving String Matching for Cloud Computing. - Bruhadeshwar Bezawada; Alex X. Liu; Bargav Jayaraman; Ann L. Wang; Rui Li 020 (ICDCS, 2015)

Detecting Vague Words & Phrases in Requirements Documents in a Multilingual Environment. - Breno Dantas Cruz; Bargav Jayaraman; Anurag Dwarakanath; Collin McMillan (RE, 2017)

Decentralized Certificate Authorities. - Bargav Jayaraman; Hannah Li; David Evans 001 (CoRR, 2017)

Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization. - Bargav Jayaraman; Lingxiao Wang 001; David Evans 001; Quanquan Gu (NeurIPS, 2018)

Evaluating Differentially Private Machine Learning in Practice. - Bargav Jayaraman; David Evans 001 (USENIX Security Symposium, 2019)

When Relaxations Go Bad: "Differentially-Private" Machine Learning. - Bargav Jayaraman; David Evans 001 (CoRR, 2019)

Efficient Privacy-Preserving Nonconvex Optimization. - Lingxiao Wang 001; Bargav Jayaraman; David Evans 001; Quanquan Gu (CoRR, 2019)

Revisiting Membership Inference Under Realistic Assumptions. - Bargav Jayaraman; Lingxiao Wang 001; David Evans 001; Quanquan Gu (CoRR, 2020)

Revisiting Membership Inference Under Realistic Assumptions. - Bargav Jayaraman; Lingxiao Wang 001; Katherine Knipmeyer; Quanquan Gu; David Evans 001 (Proc. Priv. Enhancing Technol., 2021)

Are Attribute Inference Attacks Just Imputation? - Bargav Jayaraman; David Evans 001 (CCS, 2022)

Active Data Pattern Extraction Attacks on Generative Language Models. - Bargav Jayaraman; Esha Ghosh; Huseyin A. Inan; Melissa Chase; Sambuddha Roy; Wei Dai 007 (CoRR, 2022)

Efficient Privacy-Preserving Stochastic Nonconvex Optimization. - Lingxiao Wang 001; Bargav Jayaraman; David Evans 001; Quanquan Gu (UAI, 2023)

Déjà Vu Memorization in Vision-Language Models. - Bargav Jayaraman; Chuan Guo 001; Kamalika Chaudhuri (NeurIPS, 2024)

Measuring Dejavu Memorization Efficiently. - Narine Kokhlikyan; Bargav Jayaraman; Florian Bordes; Chuan Guo 001; Kamalika Chaudhuri (NeurIPS, 2024)

Combing for Credentials: Active Pattern Extraction from Smart Reply. - Bargav Jayaraman; Esha Ghosh; Melissa Chase; Sambuddha Roy; Wei Dai 007; David Evans 001 (SP, 2024)

An Introduction to Vision-Language Modeling. - Florian Bordes; Richard Yuanzhe Pang; Anurag Ajay; Alexander C. Li; Adrien Bardes; Suzanne Petryk; Oscar Mañas; Zhiqiu Lin; Anas Mahmoud 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

Measuring Déjà vu Memorization Efficiently. - Narine Kokhlikyan; Bargav Jayaraman; Florian Bordes; Chuan Guo 001; Kamalika Chaudhuri (CoRR, 2025)

Permissioned LLMs: Enforcing Access Control in Large Language Models. - Bargav Jayaraman; Virendra J. Marathe; Hamid Mozaffari; William F. Shen; Krishnaram Kenthapadi (CoRR, 2025)