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Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors

21 June 2024

Papers citing "Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors"

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The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition Lingdong Kong Shaoyuan Xie Han-Chung Hu Yaru Niu Wei Tsang Ooi ... Hui-Yong Yang Hao Li Yadan Luo Xianjing Cheng Yong-mei Xu AAML 29 8 0 14 May 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples Antonio Emanuele Cinà Jérôme Rony Maura Pintor Christian Scano Ambra Demontis Battista Biggio Ismail Ben Ayed Fabio Roli ELM AAML SILM 89 9 0 30 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 72 5 0 08 Apr 2024
A noisy elephant in the room: Is your out-of-distribution detector robust to label noise? Galadrielle Humblot-Renaux Sergio Escalera T. Moeslund OODD UQCV NoLa 60 5 0 02 Apr 2024
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers Yatong Bai Mo Zhou Vishal M. Patel Somayeh Sojoudi AAML 50 8 0 03 Feb 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization Guang Lin Chao Li Jianhai Zhang Toshihisa Tanaka Qibin Zhao 65 14 0 29 Jan 2024
Adversarial Examples are Misaligned in Diffusion Model Manifolds P. Lorenz Ricard Durall Jansi Keuper DiffM 83 1 0 12 Jan 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 78 8 0 28 Dec 2023
Defenses in Adversarial Machine Learning: A Survey Baoyuan Wu Shaokui Wei Mingli Zhu Meixi Zheng Zihao Zhu Ruotong Wang Hongrui Chen Danni Yuan Li Liu Qingshan Liu AAML 69 14 0 13 Dec 2023
Rethinking PGD Attack: Is Sign Function Necessary? Junjie Yang Tianlong Chen Xuxi Chen Zhangyang Wang Yingbin Liang AAML 61 1 0 03 Dec 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 105 215 0 30 Oct 2023
A Survey on Transferability of Adversarial Examples across Deep Neural Networks Jindong Gu Xiaojun Jia Pau de Jorge Wenqain Yu Xinwei Liu ... Anjun Hu Ashkan Khakzar Zhijiang Li Xiaochun Cao Philip Torr AAML 66 30 0 26 Oct 2023
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions Lingdong Kong Shaoyuan Xie Hanjiang Hu Lai Xing Ng Benoit R. Cottereau Wei Tsang Ooi OODD 67 32 0 23 Oct 2023
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms William Yang Byron Zhang Olga Russakovsky OODD 83 14 0 03 Oct 2023
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement Kai Xu Rongyu Chen Gianni Franchi Angela Yao OODD 86 40 0 30 Sep 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection Jaewoo Park Yoon Gyo Jung Andrew Beng Jin Teoh OODD 66 34 0 26 Sep 2023
Adversarial Attacks Against Uncertainty Quantification Emanuele Ledda Daniele Angioni Giorgio Piras Giorgio Fumera Battista Biggio Fabio Roli AAML 61 3 0 19 Sep 2023
On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging Harry Anthony Konstantinos Kamnitsas 68 12 0 04 Sep 2023
Towards exploring adversarial learning for anomaly detection in complex driving scenes Nouran Habib Yunsu Cho Abhishek Buragohain Andreas Rausch AAML 17 2 0 17 Jun 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation Julian Bitterwolf Maximilian Müller Matthias Hein OODD 86 89 0 01 Jun 2023
Robust Evaluation of Diffusion-Based Adversarial Purification M. Lee Dongwoo Kim 109 62 0 16 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang Xiaohu Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 85 79 0 28 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min Lin Weiwei Liu Shuicheng Yan DiffM 67 223 0 09 Feb 2023
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection P. Lorenz Margret Keuper J. Keuper AAML 46 7 0 13 Dec 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection Jingkang Yang Pengyun Wang Dejian Zou Zitang Zhou Kun Ding ... Kaiyang Zhou Wayne Zhang Dan Hendrycks Yixuan Li Ziwei Liu OODD 89 243 0 13 Oct 2022
Your Out-of-Distribution Detection Method is Not Robust! Mohammad Azizmalayeri Arshia Soltani Moakhar Arman Zarei Reihaneh Zohrabi M. T. Manzuri M. Rohban OODD 82 17 0 30 Sep 2022
Generalizability of Adversarial Robustness Under Distribution Shifts Kumail Alhamoud Hasan Hammoud Motasem Alfarra Guohao Li OOD 87 9 0 29 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 213 162 0 20 Sep 2022
Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models Fangyu Wu Dequan Wang Minjune Hwang Chenhui Hao Jiawei Lu Jiamu Zhang Christopher Chou Trevor Darrell Alexandre M. Bayen 85 5 0 19 Sep 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson Tobias Fischer Feras Dayoub Dimity Miller Niko Sünderhauf OODD 81 30 0 29 Aug 2022
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch Ke Xu Yao Xiao Zhao-Heng Zheng Kaijie Cai Ramkant Nevatia AAML 57 31 0 05 Jul 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 263 444 0 16 May 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 200 520 0 13 Apr 2022
Generalizing Adversarial Explanations with Grad-CAM Tanmay Chakraborty Utkarsh Trehan Khawla Mallat J. Dugelay FAtt GAN 34 11 0 11 Apr 2022
Full-Spectrum Out-of-Distribution Detection Jingkang Yang Kaiyang Zhou Ziwei Liu OODD 70 60 0 11 Apr 2022
ViM: Out-Of-Distribution with Virtual-logit Matching Haoqi Wang Zhizhong Li Xue Jiang Wayne Zhang OODD 89 333 0 21 Mar 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses Francesco Croce Sven Gowal T. Brunner Evan Shelhamer Matthias Hein A. Cemgil TTA AAML 219 70 0 28 Feb 2022
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 101 32 0 12 Feb 2022
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 113 478 0 24 Nov 2021
Attention Mechanisms in Computer Vision: A Survey Meng-Hao Guo Tianhan Xu Jiangjiang Liu Zheng-Ning Liu Peng-Tao Jiang Tai-Jiang Mu Song-Hai Zhang Ralph Robert Martin Ming-Ming Cheng Shimin Hu 119 1,693 0 15 Nov 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 87 198 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 284 927 0 21 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 226 430 0 12 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 276 350 0 01 Oct 2021
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them Florian Tramèr AAML 76 68 0 24 Jul 2021
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection Jie Jessie Ren Stanislav Fort J. Liu Abhijit Guha Roy Shreyas Padhy Balaji Lakshminarayanan UQCV 173 225 0 16 Jun 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space Rui Huang Yixuan Li OODD 82 244 0 05 May 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 421 2,674 0 04 May 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 299 702 0 22 Apr 2021
On the Robustness of Vision Transformers to Adversarial Examples Kaleel Mahmood Rigel Mahmood Marten van Dijk ViT 124 224 0 31 Mar 2021