Bargav Jayaraman

20 papers A* 6A 3Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Measuring Déjà vu Memorization Efficiently. CoRR Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes, Chuan Guo, Kamalika Chaudhuri
2025	J	`jnl`	Permissioned LLMs: Enforcing Access Control in Large Language Models. CoRR Bargav Jayaraman, Virendra J. Marathe, Hamid Mozaffari, William F. Shen, Krishnaram Kenthapadi
2024	J	`jnl`	An Introduction to Vision-Language Modeling. CoRR Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra
2024	A*	`conf`	Combing for Credentials: Active Pattern Extraction from Smart Reply. SP Bargav Jayaraman, Esha Ghosh, Melissa Chase, Sambuddha Roy, Wei Dai, David Evans
2024	A*	`conf`	Déjà Vu Memorization in Vision-Language Models. NeurIPS Bargav Jayaraman, Chuan Guo, Kamalika Chaudhuri
2024	J	`jnl`	Déjà Vu Memorization in Vision-Language Models. CoRR Bargav Jayaraman, Chuan Guo, Kamalika Chaudhuri
2024	A*	`conf`	Measuring Dejavu Memorization Efficiently. NeurIPS Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes, Chuan Guo, Kamalika Chaudhuri
2023	A	`conf`	Efficient Privacy-Preserving Stochastic Nonconvex Optimization. UAI Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu
2022	J	`jnl`	Active Data Pattern Extraction Attacks on Generative Language Models. CoRR Bargav Jayaraman, Esha Ghosh, Huseyin A. Inan, Melissa Chase, Sambuddha Roy, Wei Dai
2022	A*	`conf`	Are Attribute Inference Attacks Just Imputation? CCS Bargav Jayaraman, David Evans
2022	J	`jnl`	Are Attribute Inference Attacks Just Imputation? CoRR Bargav Jayaraman, David Evans
2021	J	`jnl`	Revisiting Membership Inference Under Realistic Assumptions. Proc. Priv. Enhancing Technol. Bargav Jayaraman, Lingxiao Wang, Katherine Knipmeyer, Quanquan Gu, David Evans
2020	J	`jnl`	Revisiting Membership Inference Under Realistic Assumptions. CoRR Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu
2019	J	`jnl`	Efficient Privacy-Preserving Nonconvex Optimization. CoRR Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu
2019	A*	`conf`	Evaluating Differentially Private Machine Learning in Practice. USENIX Security Symposium Bargav Jayaraman, David Evans
2019	J	`jnl`	When Relaxations Go Bad: "Differentially-Private" Machine Learning. CoRR Bargav Jayaraman, David Evans
2018	A*	`conf`	Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization. NeurIPS Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu
2017	J	`jnl`	Decentralized Certificate Authorities. CoRR Bargav Jayaraman, Hannah Li, David Evans
2017	A	`conf`	Detecting Vague Words & Phrases in Requirements Documents in a Multilingual Environment. RE Breno Dantas Cruz, Bargav Jayaraman, Anurag Dwarakanath, Collin McMillan
2015	A	`conf`	Privacy Preserving String Matching for Cloud Computing. ICDCS Bruhadeshwar Bezawada, Alex X. Liu, Bargav Jayaraman, Ann L. Wang, Rui Li