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1908.08413
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Saliency Methods for Explaining Adversarial Attacks
22 August 2019
Jindong Gu
Volker Tresp
FAtt
AAML
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Papers citing
"Saliency Methods for Explaining Adversarial Attacks"
20 / 20 papers shown
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193
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Graph Neural Network Causal Explanation via Neural Causal Models
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315
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12 Jul 2024
Explaining Chest X-ray Pathology Models using Textual Concepts
Vijay Sadashivaiah
Mannudeep K. Kalra
Pingkun Yan
James A. Hendler
301
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30 Jun 2024
Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images
Zefeng Wang
Zhen Han
Shuo Chen
Fan Xue
Zifeng Ding
Xun Xiao
Volker Tresp
Juil Sock
Jindong Gu
LRM
354
4
0
22 Feb 2024
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities
Munib Mesinovic
Peter Watkinson
Ting Zhu
FaML
312
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16 Aug 2023
A Lightweight Generative Model for Interpretable Subject-level Prediction
C. Mauri
Stefano Cerri
Oula Puonti
Mark Muhlau
Koen van Leemput
MedIm
AI4CE
372
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0
19 Jun 2023
Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense
Knowledge Discovery and Data Mining (KDD), 2020
Jingyuan Wang
Yufan Wu
Mingxuan Li
Xin Lin
Junjie Wu
Chao Li
AAML
298
16
0
14 Apr 2023
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
321
2
0
03 Jan 2023
Explaining Chest X-ray Pathologies in Natural Language
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Maxime Kayser
Cornelius Emde
Oana-Maria Camburu
Guy Parsons
B. Papież
Thomas Lukasiewicz
MedIm
297
34
0
09 Jul 2022
Visualizing Automatic Speech Recognition -- Means for a Better Understanding?
Karla Markert
Romain Parracone
Mykhailo Kulakov
Philip Sperl
Ching-yu Kao
Konstantin Böttinger
276
11
0
01 Feb 2022
Saliency Diversified Deep Ensemble for Robustness to Adversaries
Alexander A. Bogun
Dimche Kostadinov
Damian Borth
AAML
FedML
186
5
0
07 Dec 2021
Are Vision Transformers Robust to Patch Perturbations?
European Conference on Computer Vision (ECCV), 2021
Jindong Gu
Volker Tresp
Yao Qin
AAML
ViT
287
84
0
20 Nov 2021
Attacking Adversarial Attacks as A Defense
Boxi Wu
Heng Pan
Li Shen
Jindong Gu
Shuai Zhao
Zhifeng Li
Deng Cai
Xiaofei He
Wei Liu
AAML
252
42
0
09 Jun 2021
Understanding Robustness in Teacher-Student Setting: A New Perspective
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Zhuolin Yang
Zhaoxi Chen
Tiffany Cai
Xinyun Chen
Yue Liu
Yuandong Tian
AAML
217
3
0
25 Feb 2021
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Leo Schwinn
A. Nguyen
René Raab
Leon Bungert
Daniel Tenbrinck
Dario Zanca
Martin Burger
Bjoern M. Eskofier
AAML
174
18
0
24 Feb 2021
Interpretable Graph Capsule Networks for Object Recognition
AAAI Conference on Artificial Intelligence (AAAI), 2020
Jindong Gu
Volker Tresp
FAtt
323
42
0
03 Dec 2020
Introspective Learning by Distilling Knowledge from Online Self-explanation
Asian Conference on Computer Vision (ACCV), 2020
Jindong Gu
Zhiliang Wu
Volker Tresp
172
3
0
19 Sep 2020
Heat and Blur: An Effective and Fast Defense Against Adversarial Examples
Haya Brama
Tal Grinshpoun
AAML
278
10
0
17 Mar 2020
Contextual Prediction Difference Analysis for Explaining Individual Image Classifications
Jindong Gu
Volker Tresp
FAtt
177
8
0
21 Oct 2019
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