Denoised Smoothing: A Provable Defense for Pretrained Classifiers
Authors: Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter | Published: 2020-03-04 | Updated: 2020-09-21
Defense Method
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Authors: Francesco Croce, Matthias Hein | Published: 2020-03-03 | Updated: 2020-08-04
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond
Authors: Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh | Published: 2020-02-28 | Updated: 2020-10-26
Certified Defense to Image Transformations via Randomized Smoothing
Authors: Marc Fischer, Maximilian Baader, Martin Vechev | Published: 2020-02-27 | Updated: 2021-08-25
Entangled Watermarks as a Defense against Model Extraction
Authors: Hengrui Jia, Christopher A. Choquette-Choo, Varun Chandrasekaran, Nicolas Papernot | Published: 2020-02-27 | Updated: 2021-02-19
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space
Authors: Camilo Pestana, Naveed Akhtar, Wei Liu, David Glance, Ajmal Mian | Published: 2020-02-25
An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning
Authors: Xue Yang, Yan Feng, Weijun Fang, Jun Shao, Xiaohu Tang, Shu-Tao Xia, Rongxing Lu | Published: 2020-02-23 | Updated: 2021-08-15
Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks
Authors: Kirthi Shankar Sivamani, Rajeev Sahay, Aly El Gamal | Published: 2020-02-22
Robustness from Simple Classifiers
Authors: Sharon Qian, Dimitris Kalimeris, Gal Kaplun, Yaron Singer | Published: 2020-02-21
Adversarial Detection and Correction by Matching Prediction Distributions
Authors: Giovanni Vacanti, Arnaud Van Looveren | Published: 2020-02-21