Bargav Jayaraman

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 15

Top Topics

Language Modeling

Empirical Risk Minimization

Privacy Preserving

Machine Learning

Top Venues

USENIX Security Symposium

Publications

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
An Introduction to Vision-Language Modeling. CoRR (2024)
Bargav Jayaraman, Chuan Guo, Kamalika Chaudhuri
Déjà Vu Memorization in Vision-Language Models. CoRR (2024)
Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu
Efficient Privacy-Preserving Stochastic Nonconvex Optimization. UAI (2023)
Bargav Jayaraman, David Evans
Are Attribute Inference Attacks Just Imputation? CoRR (2022)
Bargav Jayaraman, Esha Ghosh, Huseyin A. Inan, Melissa Chase, Sambuddha Roy, Wei Dai
Active Data Pattern Extraction Attacks on Generative Language Models. CoRR (2022)
Bargav Jayaraman, David Evans
Are Attribute Inference Attacks Just Imputation? CCS (2022)
Bargav Jayaraman, Lingxiao Wang, Katherine Knipmeyer, Quanquan Gu, David Evans
Revisiting Membership Inference Under Realistic Assumptions. Proc. Priv. Enhancing Technol. 2021 (2) (2021)
Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu
Revisiting Membership Inference Under Realistic Assumptions. CoRR (2020)
Bargav Jayaraman, David Evans
When Relaxations Go Bad: "Differentially-Private" Machine Learning. CoRR (2019)
Bargav Jayaraman, David Evans
Evaluating Differentially Private Machine Learning in Practice. USENIX Security Symposium (2019)
Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu
Efficient Privacy-Preserving Nonconvex Optimization. CoRR (2019)
Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization. NeurIPS (2018)
Breno Dantas Cruz, Bargav Jayaraman, Anurag Dwarakanath, Collin McMillan
Detecting Vague Words & Phrases in Requirements Documents in a Multilingual Environment. RE (2017)
Bargav Jayaraman, Hannah Li, David Evans
Decentralized Certificate Authorities. CoRR (2017)
Bruhadeshwar Bezawada, Alex X. Liu, Bargav Jayaraman, Ann L. Wang, Rui Li
Privacy Preserving String Matching for Cloud Computing. ICDCS (2015)