ADef: an Iterative Algorithm to Construct Adversarial Deformations

20 April 2018

Papers citing "ADef: an Iterative Algorithm to Construct Adversarial Deformations"

9 / 59 papers shown

Title
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks David Stutz Matthias Hein Bernt Schiele AAML 22 5 0 14 Oct 2019
A principled approach for generating adversarial images under non-smooth dissimilarity metrics Aram-Alexandre Pooladian Chris Finlay Tim Hoheisel Adam M. Oberman AAML 20 3 0 05 Aug 2019
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks Haohan Wang Xindi Wu Pengcheng Yin Eric Xing 11 512 0 28 May 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric Xing L. Ghaoui Michael I. Jordan 54 2,496 0 24 Jan 2019
Interpretable Deep Learning under Fire Xinyang Zhang Ningfei Wang Hua Shen S. Ji Xiapu Luo Ting Wang AAML AI4CE 27 169 0 03 Dec 2018
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 194 275 0 03 Dec 2018
Adversarial Examples as an Input-Fault Tolerance Problem A. Galloway A. Golubeva Graham W. Taylor SILM AAML 14 0 0 30 Nov 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,113 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 308 5,847 0 08 Jul 2016