Adversarial Robustness as a Prior for Learned Representations

3 June 2019

Papers citing "Adversarial Robustness as a Prior for Learned Representations"

9 / 9 papers shown

Title
Addressing Mistake Severity in Neural Networks with Semantic Knowledge Natalie Abreu Nathan Vaska Victoria Helus AAML OOD 16 3 0 21 Nov 2022
Attack to Fool and Explain Deep Networks Naveed Akhtar M. Jalwana Bennamoun Ajmal Saeed Mian AAML 24 33 0 20 Jun 2021
Adversarial Training is Not Ready for Robot Learning Mathias Lechner Ramin Hasani Radu Grosu Daniela Rus T. Henzinger AAML 35 34 0 15 Mar 2021
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases Ren Wang Gaoyuan Zhang Sijia Liu Pin-Yu Chen Jinjun Xiong Meng Wang AAML 25 148 0 31 Jul 2020
Adversarial Training Reduces Information and Improves Transferability M. Terzi Alessandro Achille Marco Maggipinto Gian Antonio Susto AAML 19 23 0 22 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor A. Madry 34 416 0 16 Jul 2020
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition C. Duong Thanh-Dat Truong Kha Gia Quach Hung Bui Kaushik Roy Khoa Luu CVBM 6 52 0 16 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 13 103 0 13 Nov 2019