Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness

2 March 2020

Papers citing "Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness"

7 / 7 papers shown

Title
A Cognitive Framework for Delegation Between Error-Prone AI and Human Agents Andrew Fuchs A. Passarella M. Conti 8 7 0 06 Apr 2022
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 19 4 0 16 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 20 234 0 01 Aug 2021
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 178 271 0 03 Dec 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 233 909 0 21 Apr 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 253 3,102 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,813 0 08 Jul 2016