Bargav Jayaraman

According to our database, Bargav Jayaraman authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, 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

CoRR, 2024

Déjà Vu Memorization in Vision-Language Models.

Bargav Jayaraman, Chuan Guo, Kamalika Chaudhuri

CoRR, 2024

Combing for Credentials: Active Pattern Extraction from Smart Reply.

Bargav Jayaraman, Esha Ghosh, Melissa Chase, Sambuddha Roy, Wei Dai, David Evans

Proceedings of the IEEE Symposium on Security and Privacy, 2024

2023

Efficient Privacy-Preserving Stochastic Nonconvex Optimization.

Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Active Data Pattern Extraction Attacks on Generative Language Models.

Bargav Jayaraman, Esha Ghosh, Huseyin A. Inan, Melissa Chase, Sambuddha Roy, Wei Dai

CoRR, 2022

Are Attribute Inference Attacks Just Imputation?

Bargav Jayaraman, David Evans

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Revisiting Membership Inference Under Realistic Assumptions.

Bargav Jayaraman, Lingxiao Wang, Katherine Knipmeyer, Quanquan Gu, David Evans

Proc. Priv. Enhancing Technol., 2021

2020

Revisiting Membership Inference Under Realistic Assumptions.

Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu

CoRR, 2020

2019

Efficient Privacy-Preserving Nonconvex Optimization.

Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu

CoRR, 2019

When Relaxations Go Bad: "Differentially-Private" Machine Learning.

Bargav Jayaraman, David Evans

CoRR, 2019

Evaluating Differentially Private Machine Learning in Practice.

Bargav Jayaraman, David Evans

Proceedings of the 28th USENIX Security Symposium, 2019

2018

Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization.

Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Decentralized Certificate Authorities.

Bargav Jayaraman, Hannah Li, David Evans

CoRR, 2017

Detecting Vague Words & Phrases in Requirements Documents in a Multilingual Environment.

Breno Dantas Cruz, Bargav Jayaraman, Anurag Dwarakanath, Collin McMillan

Proceedings of the 25th IEEE International Requirements Engineering Conference, 2017

2015

Privacy Preserving String Matching for Cloud Computing.

Bruhadeshwar Bezawada, Alex X. Liu, Bargav Jayaraman, Ann L. Wang, Rui Li

Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015