Bridging Adversarial Robustness and Gradient Interpretability

Bridging Adversarial Robustness and Gradient Interpretability

27 March 2019

Junghoon Seo

Papers citing "Bridging Adversarial Robustness and Gradient Interpretability"

13 / 13 papers shown

Title
Stability of Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 38 1 0 03 May 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training Shizhan Gong Qi Dou Farzan Farnia FAtt 47 2 0 06 Apr 2024
Exploring the Connection between Robust and Generative Models Senad Beadini I. Masi AAML 32 1 0 08 Apr 2023
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier Mozhdeh Rouhsedaghat Masoud Monajatipoor C.-C. Jay Kuo I. Masi 42 6 0 23 Sep 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 23 124 0 27 Jul 2022
B-cos Networks: Alignment is All We Need for Interpretability Moritz D Boehle Mario Fritz Bernt Schiele 48 85 0 20 May 2022
Improving the trustworthiness of image classification models by utilizing bounding-box annotations K. Dharma Chicheng Zhang 32 5 0 15 Aug 2021
Adversarial Training is Not Ready for Robot Learning Mathias Lechner Ramin Hasani Radu Grosu Daniela Rus T. Henzinger AAML 38 34 0 15 Mar 2021
Do Input Gradients Highlight Discriminative Features? Harshay Shah Prateek Jain Praneeth Netrapalli AAML FAtt 26 57 0 25 Feb 2021
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries Jinyin Chen Zhen Wang Haibin Zheng Jun Xiao Zhaoyan Ming AAML 19 5 0 18 Dec 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor A. Madry 37 417 0 16 Jul 2020
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 194 275 0 03 Dec 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 308 5,847 0 08 Jul 2016