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Disentangling Adversarial Robustness and Generalization

3 December 2018

David Stutz

Matthias Hein

Bernt Schiele

AAML

OOD

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Papers citing "Disentangling Adversarial Robustness and Generalization"

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Title
How many dimensions are required to find an adversarial example? Charles Godfrey Henry Kvinge Elise Bishoff Myles Mckay Davis Brown T. Doster E. Byler AAML 75 5 0 24 Mar 2023
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces Odelia Melamed Gilad Yehudai Gal Vardi GAN 60 2 0 01 Mar 2023
Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain Chang-rui Liu Wenzhao Xiang Yuan He H. Xue Shibao Zheng Hang Su 83 4 0 28 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min Lin Weiwei Liu Shuicheng Yan DiffM 106 228 0 09 Feb 2023
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification João Vitorino Isabel Praça Eva Maia AAML 99 28 0 30 Jan 2023
Provable Unrestricted Adversarial Training without Compromise with Generalizability Lili Zhang Ning Yang Yanchao Sun Philip S. Yu AAML 84 2 0 22 Jan 2023
Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty Genki Osada Tsubasa Takahashi Budrul Ahsan Takashi Nishide OODD 92 14 0 24 Dec 2022
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models Chengzhi Mao Scott Geng Junfeng Yang Xin Eric Wang Carl Vondrick VLM 98 71 0 14 Dec 2022
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 85 4 0 08 Dec 2022
Learning Antidote Data to Individual Unfairness Peizhao Li Ethan Xia Hongfu Liu FedML FaML 87 9 0 29 Nov 2022
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks Huma Jamil Yajing Liu Christina Cole Nathaniel Blanchard E. King Michael Kirby C. Peterson AAML 44 2 0 23 Nov 2022
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack Yunfeng Diao He Wang Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg Meng Wang AAML 71 7 0 21 Nov 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples D. M. Nguyen Anh Tuan Luu AAML 84 17 0 05 Nov 2022
An Adversarial Robustness Perspective on the Topology of Neural Networks Morgane Goibert Thomas Ricatte Elvis Dohmatob AAML 66 2 0 04 Nov 2022
Adversarial Purification with the Manifold Hypothesis Zhaoyuan Yang Zhiwei Xu Jing Zhang Leonid Sigal Peter Tu AAML 93 5 0 26 Oct 2022
Strength-Adaptive Adversarial Training Chaojian Yu Dawei Zhou Li Shen Jun Yu Bo Han Biwei Huang Nannan Wang Tongliang Liu OOD 56 2 0 04 Oct 2022
Understanding Adversarial Robustness Against On-manifold Adversarial Examples Jiancong Xiao Liusha Yang Yanbo Fan Jue Wang Zhimin Luo OOD 75 13 0 02 Oct 2022
Learning Globally Smooth Functions on Manifolds J. Cerviño Luiz F. O. Chamon B. Haeffele René Vidal Alejandro Ribeiro 105 6 0 01 Oct 2022
Exploring the Relationship between Architecture and Adversarially Robust Generalization Aishan Liu Shiyu Tang Siyuan Liang Ruihao Gong Boxi Wu Xianglong Liu Dacheng Tao AAML 93 19 0 28 Sep 2022
Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training Zihui Wu Haichang Gao Bingqian Zhou Xiaoyan Guo Shudong Zhang AAML 56 0 0 26 Aug 2022
Is current research on adversarial robustness addressing the right problem? Ali Borji OOD AAML 47 1 0 31 Jul 2022
Distance Learner: Incorporating Manifold Prior to Model Training Aditya Chetan Nipun Kwatra 31 1 0 14 Jul 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations Tianlong Chen Peihao Wang Zhiwen Fan Zhangyang Wang 106 55 0 04 Jul 2022
Domain Generalization via Selective Consistency Regularization for Time Series Classification Wenyu Zhang Mohamed Ragab Chuan-Sheng Foo OOD AI4TS 116 2 0 16 Jun 2022
The Manifold Hypothesis for Gradient-Based Explanations Sebastian Bordt Uddeshya Upadhyay Zeynep Akata U. V. Luxburg FAtt AAML 50 14 0 15 Jun 2022
Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification Jungeum Kim Tianlin Li OOD AAML 18 3 0 20 May 2022
Adversarial Fine-tune with Dynamically Regulated Adversary Peng-Fei Hou Ming Zhou Jie Han Petr Musílek Xingyu Li AAML 56 3 0 28 Apr 2022
On Fragile Features and Batch Normalization in Adversarial Training Nils Philipp Walter David Stutz Bernt Schiele AAML 54 5 0 26 Apr 2022
When adversarial examples are excusable Pieter-Jan Kindermans Charles Staats AAML 47 0 0 25 Apr 2022
Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks Stefan Pócos Iveta Becková Igor Farkas AAML 33 2 0 12 Apr 2022
Improving Robustness of Jet Tagging Algorithms with Adversarial Training Annika Stein X. Coubez S. Mondal A. Novák A. Schmidt AAML 58 5 0 25 Mar 2022
A Manifold View of Adversarial Risk Wen-jun Zhang Yikai Zhang Xiaoling Hu Mayank Goswami Chao Chen Dimitris N. Metaxas AAML 55 6 0 24 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers He Wang Yunfeng Diao Zichang Tan G. Guo AAML 133 10 0 09 Mar 2022
Why adversarial training can hurt robust accuracy Jacob Clarysse Julia Hörrmann Fanny Yang AAML 40 19 0 03 Mar 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 120 124 0 21 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 100 16 0 15 Feb 2022
Improving Generalization via Uncertainty Driven Perturbations Matteo Pagliardini Gilberto Manunza Martin Jaggi Michael I. Jordan Tatjana Chavdarova AAML AI4CE 78 4 0 11 Feb 2022
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework Mohammad Khalooei M. Homayounpour M. Amirmazlaghani AAML 60 3 0 05 Feb 2022
Memory Defense: More Robust Classification via a Memory-Masking Autoencoder Eashan Adhikarla Danni Luo Brian D. Davison AAML 31 2 0 05 Feb 2022
Quantifying Robustness to Adversarial Word Substitutions Yuting Yang Pei Huang Feifei Ma Juan Cao Meishan Zhang Jian Zhang Jintao Li AAML 68 3 0 11 Jan 2022
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? Xinhsuai Dong Anh Tuan Luu Min Lin Shuicheng Yan Hanwang Zhang SILM AAML 71 62 0 22 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses Chun Pong Lau Jiang-Long Liu Hossein Souri Wei-An Lin Soheil Feizi Ramalingam Chellappa AAML 81 13 0 12 Dec 2021
Amicable Aid: Perturbing Images to Improve Classification Performance Juyeop Kim Jun-Ho Choi Soobeom Jang Jong-Seok Lee AAML 72 2 0 09 Dec 2021
Consistent Semantic Attacks on Optical Flow Tomer Koren L. Talker Michael Dinerstein R. Jevnisek AAML 65 4 0 16 Nov 2021
Robust and Accurate Object Detection via Self-Knowledge Distillation Weipeng Xu Pengzhi Chu Renhao Xie Xiongziyan Xiao Hongcheng Huang AAML ObjD 66 4 0 14 Nov 2021
ε-weakened Robustness of Deep Neural Networks Pei Huang Yuting Yang Minghao Liu Fuqi Jia Feifei Ma Jian Zhang AAML 71 18 0 29 Oct 2021
Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff Adel Javanmard M. Mehrabi AAML 66 5 0 22 Oct 2021
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness Simon Geisler Johanna Sommer Jan Schuchardt Aleksandar Bojchevski Stephan Günnemann AAML 58 39 0 21 Oct 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 71 4 0 16 Sep 2021
Robustness and Generalization via Generative Adversarial Training Omid Poursaeed Tianxing Jiang Harry Yang Serge Belongie SerNam Lim OOD AAML 68 26 0 06 Sep 2021