Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms
Authors: Elvis Dohmatob, Meyer Scetbon | Published: 2023-08-01
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Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond
Authors: Meyer Scetbon, Elvis Dohmatob | Published: 2023-01-31
Overparameterized Linear Regression under Adversarial Attacks
Authors: Antônio H. Ribeiro, Thomas B. Schön | Published: 2022-04-13 | Updated: 2023-01-27
Distribution-Invariant Differential Privacy
Authors: Xuan Bi, Xiaotong Shen | Published: 2021-11-08 | Updated: 2022-06-06
Morse-STF: Improved Protocols for Privacy-Preserving Machine Learning
Authors: Qizhi Zhang, Sijun Tan, Lichun Li, Yun Zhao, Dong Yin, Shan Yin | Published: 2021-09-24 | Updated: 2022-05-19
Secure PAC Bayesian Regression via Real Shamir Secret Sharing
Authors: Jaron Skovsted Gundersen, Bulut Kuskonmaz, Rafael Wisniewski | Published: 2021-09-23 | Updated: 2023-04-17
Machine Learning on Cloud with Blockchain: A Secure, Verifiable and Fair Approach to Outsource the Linear Regression for Data Analysis
Authors: Hanlin Zhang, Peng Gao, Jia Yu, Jie Lin, Neal N. Xiong | Published: 2021-01-07 | Updated: 2021-11-22
Perturbing Inputs to Prevent Model Stealing
Authors: Justin Grana | Published: 2020-05-12
Secure multiparty computations in floating-point arithmetic
Authors: Chuan Guo, Awni Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu | Published: 2020-01-09
Understanding and Quantifying Adversarial Examples Existence in Linear Classification
Authors: Xupeng Shi, A. Adam Ding | Published: 2019-10-27