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2020 – today
- 2024
[c7]Bargav Jayaraman, Esha Ghosh, Melissa Chase, Sambuddha Roy, Wei Dai
, David Evans:
Combing for Credentials: Active Pattern Extraction from Smart Reply. SP 2024: 1443-1461- [i8]Bargav Jayaraman, Chuan Guo, Kamalika Chaudhuri:
Déjà Vu Memorization in Vision-Language Models. CoRR abs/2402.02103 (2024) - [i7]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 abs/2405.17247 (2024) - 2023
- [c6]Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu:
Efficient Privacy-Preserving Stochastic Nonconvex Optimization. UAI 2023: 2203-2213 - 2022
- [c5]Bargav Jayaraman, David Evans:
Are Attribute Inference Attacks Just Imputation? CCS 2022: 1569-1582 - [i6]Bargav Jayaraman, Esha Ghosh, Huseyin A. Inan, Melissa Chase, Sambuddha Roy, Wei Dai:
Active Data Pattern Extraction Attacks on Generative Language Models. CoRR abs/2207.10802 (2022) - [i5]Bargav Jayaraman, David Evans:
Are Attribute Inference Attacks Just Imputation? CoRR abs/2209.01292 (2022) - 2021
- [j1]Bargav Jayaraman, Lingxiao Wang, Katherine Knipmeyer, Quanquan Gu, David Evans:
Revisiting Membership Inference Under Realistic Assumptions. Proc. Priv. Enhancing Technol. 2021(2): 348-368 (2021) - 2020
- [i4]Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu:
Revisiting Membership Inference Under Realistic Assumptions. CoRR abs/2005.10881 (2020)
2010 – 2019
- 2019
- [c4]Bargav Jayaraman, David Evans:
Evaluating Differentially Private Machine Learning in Practice. USENIX Security Symposium 2019: 1895-1912 - [i3]Bargav Jayaraman, David Evans:
When Relaxations Go Bad: "Differentially-Private" Machine Learning. CoRR abs/1902.08874 (2019) - [i2]Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu:
Efficient Privacy-Preserving Nonconvex Optimization. CoRR abs/1910.13659 (2019) - 2018
- [c3]Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu:
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization. NeurIPS 2018: 6346-6357 - 2017
- [c2]Breno Dantas Cruz, Bargav Jayaraman, Anurag Dwarakanath, Collin McMillan:
Detecting Vague Words & Phrases in Requirements Documents in a Multilingual Environment. RE 2017: 233-242 - [i1]Bargav Jayaraman, Hannah Li, David Evans:
Decentralized Certificate Authorities. CoRR abs/1706.03370 (2017) - 2015
- [c1]Bruhadeshwar Bezawada, Alex X. Liu, Bargav Jayaraman, Ann L. Wang, Rui Li:
Privacy Preserving String Matching for Cloud Computing. ICDCS 2015: 609-618
Coauthor Index
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