Adversarially Robust Learning with Unknown Perturbation Sets
Authors: Omar Montasser, Steve Hanneke, Nathan Srebro | Published: 2021-02-03
モデル性能評価
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
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Authors: Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis | Published: 2021-01-04 | Updated: 2021-03-29
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning
Authors: Farhad Farokhi | Published: 2020-11-30 | Updated: 2020-12-01
Voting based ensemble improves robustness of defensive models
Authors: Devvrit, Minhao Cheng, Cho-Jui Hsieh, Inderjit Dhillon | Published: 2020-11-28
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack
Authors: Rui Shu, Tianpei Xia, Laurie Williams, Tim Menzies | Published: 2020-11-23 | Updated: 2021-10-12
Beta-CoRM: A Bayesian Approach for $n$-gram Profiles Analysis
Authors: José A. Perusquía, Jim E. Griffin, Cristiano Villa | Published: 2020-11-23 | Updated: 2024-09-02
Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress)
Authors: Ryan M. McGranaghan, Jack Ziegler, Téo Bloch, Spencer Hatch, Enrico Camporeale, Kristina Lynch, Mathew Owens, Jesper Gjerloev, Binzheng Zhang, Susan Skone | Published: 2020-11-19 | Updated: 2021-06-28
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
Authors: Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong | Published: 2020-11-15 | Updated: 2022-06-03
Machine Learning Interpretability Meets TLS Fingerprinting
Authors: Mahdi Jafari Siavoshani, Amir Hossein Khajepour, Amirmohammad Ziaei, Amir Ali Gatmiri, Ali Taheri | Published: 2020-11-12 | Updated: 2021-09-12