Defending Against Physically Realizable Attacks on Image Classification

20 September 2019

Papers citing "Defending Against Physically Realizable Attacks on Image Classification"

50 / 72 papers shown

Title
Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Songyan Xie Jinghang Wen Encheng Su Qiucheng Yu AAML PICV 29 0 0 22 Apr 2025
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos Songping Wang Hanqing Liu Yueming Lyu Xiantao Hu Ziwen He Wei Wang Caifeng Shan Lei Wang AAML 130 0 0 21 Apr 2025
Fall Leaf Adversarial Attack on Traffic Sign Classification Anthony Etim Jakub Szefer AAML 79 3 0 27 Nov 2024
DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination Jia Fu Xiao Zhang Sepideh Pashami Fatemeh Rahimian Anders Holst DiffM AAML 37 0 0 31 Oct 2024
Real-world Adversarial Defense against Patch Attacks based on Diffusion Model Xingxing Wei Caixin Kang Yinpeng Dong Zihan Wang Shouwei Ruan Yubo Chen Hang Su AAML DiffM 40 2 0 14 Sep 2024
Adaptive Batch Normalization Networks for Adversarial Robustness Shao-Yuan Lo Vishal M. Patel AAML OOD 43 1 0 20 May 2024
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks Lihua Jing Rui Wang Wenqi Ren Xinjie Dong Cong Zou AAML 29 6 0 25 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 51 5 0 08 Apr 2024
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks Lei Zhang Yuhang Zhou Yi Yang Xinbo Gao AAML OOD 46 7 0 04 Apr 2024
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches Lingxuan Wu Xiao Yang Yinpeng Dong Liuwei Xie Hang Su Jun Zhu AAML 42 2 0 31 Mar 2024
Verification of Neural Networks' Global Robustness Anan Kabaha Dana Drachsler-Cohen AAML OOD 43 5 0 29 Feb 2024
Adversarial Robustness Through Artifact Design Tsufit Shua Mahmood Sharif AAML 27 0 0 07 Feb 2024
RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches on Face Recognition Xiaoliang Liu Shen Furao Jian Zhao Changhai Nie AAML 32 3 0 29 Nov 2023
Attention-Based Real-Time Defenses for Physical Adversarial Attacks in Vision Applications Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 23 2 0 19 Nov 2023
Adversarial Examples in the Physical World: A Survey Jiakai Wang Xianglong Liu Jin Hu Donghua Wang Siyang Wu Tingsong Jiang Wenbiao Yao Aishan Liu Aishan Liu Jiantao Zhou AAML 43 4 0 01 Nov 2023
Adversarial sample generation and training using geometric masks for accurate and resilient license plate character recognition Bishal Shrestha Griwan Khakurel Kritika Simkhada Badri Adhikari AAML 45 0 0 25 Oct 2023
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses Chong Xiang Tong Wu Sihui Dai Jonathan Petit Suman Jana Prateek Mittal 49 2 0 19 Oct 2023
Why Don't You Clean Your Glasses? Perception Attacks with Dynamic Optical Perturbations Yi Han Matthew Chan Eric Wengrowski Zhuo Li Nils Ole Tippenhauer Mani B. Srivastava S. Zonouz L. Garcia AAML 32 1 0 24 Jul 2023
Query-Efficient Decision-based Black-Box Patch Attack Zhaoyu Chen Bo-wen Li Shuang Wu Shouhong Ding Wenqiang Zhang AAML 24 33 0 02 Jul 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World Weiran Lin Keane Lucas Neo Eyal Lujo Bauer Michael K. Reiter Mahmood Sharif OOD AAML 42 1 0 29 Jun 2023
Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches Aniruddha Saha Shuhua Yu Arash Norouzzadeh Wan-Yi Lin Chaithanya Kumar Mummadi AAML 24 2 0 22 Jun 2023
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks Cai Kang Yinpeng Dong Zhengyi Wang Shouwei Ruan Yubo Chen Hang Su Xingxing Wei AAML DiffM 29 11 0 15 Jun 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 52 50 0 18 May 2023
Physical Adversarial Attacks for Surveillance: A Survey Kien Nguyen Thanh Tharindu Fernando Clinton Fookes Sridha Sridharan AAML 36 8 0 01 May 2023
A Random-patch based Defense Strategy Against Physical Attacks for Face Recognition Systems Jiahao Xie Ye Luo Jianwei Lu AAML CVBM 18 3 0 16 Apr 2023
Visually Adversarial Attacks and Defenses in the Physical World: A Survey Xingxing Wei Bangzheng Pu Jiefan Lu Baoyuan Wu AAML 24 10 0 03 Nov 2022
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation Maksym Yatsura K. Sakmann N. G. Hua Matthias Hein J. H. Metzen AAML 52 17 0 13 Sep 2022
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation Tong Wu Tianhao Wang Vikash Sehwag Saeed Mahloujifar Prateek Mittal AAML 42 37 0 22 Jul 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum Junlin Wu Yevgeniy Vorobeychik 24 21 0 21 Jun 2022
Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive Frame Youngjoon Yu Hong Joo Lee Hakmin Lee Yong Man Ro AAML 24 10 0 27 Apr 2022
Self-recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks Jiawei Zhang Jinwei Wang Hao Wang X. Luo AAML 25 28 0 26 Apr 2022
Robust Unlearnable Examples: Protecting Data Against Adversarial Learning Shaopeng Fu Fengxiang He Yang Liu Li Shen Dacheng Tao 29 24 0 28 Mar 2022
Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis Giulio Rossolini F. Nesti Fabio Brau Alessandro Biondi Giorgio Buttazzo AAML 25 8 0 14 Mar 2022
Why adversarial training can hurt robust accuracy Jacob Clarysse Julia Hörrmann Fanny Yang AAML 13 18 0 03 Mar 2022
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 20 32 0 12 Feb 2022
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking Chong Xiang Alexander Valtchanov Saeed Mahloujifar Prateek Mittal AAML 16 21 0 03 Feb 2022
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection Jiangjiang Liu Alexander Levine Chun Pong Lau Ramalingam Chellappa S. Feizi AAML 32 76 0 08 Dec 2021
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks Xiangyu Qi Tinghao Xie Ruizhe Pan Jifeng Zhu Yong-Liang Yang Kai Bu AAML 33 57 0 25 Nov 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems Bao Gia Doan Minhui Xue Shiqing Ma Ehsan Abbasnejad Damith C. Ranasinghe AAML 41 53 0 19 Nov 2021
Generative Dynamic Patch Attack Xiang Li Shihao Ji AAML 30 22 0 08 Nov 2021
DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems Ce Zhou Qiben Yan Yan Shi Lichao Sun AAML 40 25 0 07 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 356 0 04 Oct 2021
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier Chong Xiang Saeed Mahloujifar Prateek Mittal VLM AAML 24 73 0 20 Aug 2021
Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks Zitao Chen Pritam Dash Karthik Pattabiraman AAML 26 18 0 11 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 31 236 0 01 Aug 2021
Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting Xiangyu Qi Jifeng Zhu Chulin Xie Yong-Liang Yang AAML 66 35 0 15 Jul 2021
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks Nezihe Merve Gürel Xiangyu Qi Luka Rimanic Ce Zhang Bo-wen Li AAML 19 39 0 11 Jun 2021
Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training Dawei Zhou N. Wang Xinbo Gao Bo Han Jun Yu Xiaoyu Wang Tongliang Liu AAML 26 4 0 10 Jun 2021
Towards Defending against Adversarial Examples via Attack-Invariant Features Dawei Zhou Tongliang Liu Bo Han N. Wang Chunlei Peng Xinbo Gao AAML 17 44 0 09 Jun 2021
Enhancing Robustness of Neural Networks through Fourier Stabilization Netanel Raviv Aidan Kelley Michael M. Guo Yevgeny Vorobeychik AAML 14 13 0 08 Jun 2021