Saliency Methods for Explaining Adversarial Attacks

Saliency Methods for Explaining Adversarial Attacks

22 August 2019

Jindong Gu

Papers citing "Saliency Methods for Explaining Adversarial Attacks"

7 / 7 papers shown

Title
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 47 2 0 03 Jan 2023
Visualizing Automatic Speech Recognition -- Means for a Better Understanding? Karla Markert Romain Parracone Mykhailo Kulakov Philip Sperl Ching-yu Kao Konstantin Böttinger 19 8 0 01 Feb 2022
Are Vision Transformers Robust to Patch Perturbations? Jindong Gu Volker Tresp Yao Qin AAML ViT 40 61 0 20 Nov 2021
Understanding Robustness in Teacher-Student Setting: A New Perspective Zhuolin Yang Zhaoxi Chen Tiffany Cai Xinyun Chen Bo-wen Li Yuandong Tian AAML 35 2 0 25 Feb 2021
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis Leo Schwinn A. Nguyen René Raab Leon Bungert Daniel Tenbrinck Dario Zanca Martin Burger Bjoern M. Eskofier AAML 21 15 0 24 Feb 2021
Interpretable Graph Capsule Networks for Object Recognition Jindong Gu Volker Tresp FAtt 19 36 0 03 Dec 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 335 5,849 0 08 Jul 2016