Quantifying and Mitigating Privacy Risks of Contrastive Learning
Authors: Xinlei He, Yang Zhang | Published: 2021-02-08 | Updated: 2021-09-21
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Optimal Transport as a Defense Against Adversarial Attacks
Authors: Quentin Bouniot, Romaric Audigier, Angélique Loesch | Published: 2021-02-05 | Updated: 2021-03-30
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Authors: Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang | Published: 2021-02-04 | Updated: 2021-10-06
Adversarially Robust Learning with Unknown Perturbation Sets
Authors: Omar Montasser, Steve Hanneke, Nathan Srebro | Published: 2021-02-03
TAD: Trigger Approximation based Black-box Trojan Detection for AI
Authors: Xinqiao Zhang, Huili Chen, Farinaz Koushanfar | Published: 2021-02-03 | Updated: 2021-04-20
Symmetric Sparse Boolean Matrix Factorization and Applications
Authors: Sitan Chen, Zhao Song, Runzhou Tao, Ruizhe Zhang | Published: 2021-02-02 | Updated: 2022-01-13
Fast Training of Provably Robust Neural Networks by SingleProp
Authors: Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel | Published: 2021-02-01
MalNet: A Large-Scale Image Database of Malicious Software
Authors: Scott Freitas, Rahul Duggal, Duen Horng Chau | Published: 2021-01-31 | Updated: 2022-09-04
Meta Adversarial Training against Universal Patches
Authors: Jan Hendrik Metzen, Nicole Finnie, Robin Hutmacher | Published: 2021-01-27 | Updated: 2021-06-22
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain
Authors: Shuaicheng Ma, Yang Cao, Li Xiong | Published: 2021-01-26 | Updated: 2021-04-24