Papers citing 'LaVAN: Localized and Visible Adversarial Noise'

Title
DIFFender: Diffusion-Based Adversarial Defense against Patch AttacksEuropean Conference on Computer Vision (ECCV), 2023 Cai Kang Yinpeng Dong Zhengyi Wang Shouwei Ruan Yubo Chen Hang Su Xingxing Wei AAML DiffM 168 17 0 15 Jun 2023
Architecture-agnostic Iterative Black-box Certified Defense against Adversarial PatchesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Dichao Yang Yihao Huang Qing Guo Felix Juefei Xu Ming Hu Yang Liu G. Pu AAML 147 2 0 18 May 2023
Ortho-ODE: Enhancing Robustness and of Neural ODEs against Adversarial Attacks V. Purohit AAML 142 1 0 16 May 2023
Detection of Adversarial Physical Attacks in Time-Series Image Data Ramneet Kaur Y. Kantaros Wenwen Si James Weimer Insup Lee AAML 112 3 0 27 Apr 2023
Jedi: Entropy-based Localization and Removal of Adversarial PatchesComputer Vision and Pattern Recognition (CVPR), 2023 Bilel Tarchoun Anouar Ben Khalifa Mohamed Ali Mahjoub Nael B. Abu-Ghazaleh Ihsen Alouani AAML 134 47 0 20 Apr 2023
Efficient Decision-based Black-box Patch Attacks on Video RecognitionIEEE International Conference on Computer Vision (ICCV), 2023 Kaixun Jiang Zhaoyu Chen Tony Huang Jiafeng Wang Dingkang Yang Yue Liu Yan Wang Wenqiang Zhang AAML 166 27 0 21 Mar 2023
Agnostic Multi-Robust Learning Using ERMInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Saba Ahmadi Avrim Blum Omar Montasser Kevin Stangl AAML OOD 97 1 0 15 Mar 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 306 30 0 19 Feb 2023
Benchmarking Robustness to Adversarial Image ObfuscationsNeural Information Processing Systems (NeurIPS), 2023 Florian Stimberg Ayan Chakrabarti Chun-Ta Lu Hussein Hazimeh Otilia Stretcu ... Merve Kaya Cyrus Rashtchian Ariel Fuxman Mehmet Tek Sven Gowal AAML 148 10 0 30 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 192 2 0 03 Jan 2023
ExploreADV: Towards exploratory attack for Neural Networks Tianzuo Luo Yuyi Zhong S. Khoo AAML 131 1 0 01 Jan 2023
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch AttacksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Xingxing Wei Yingjie Guo Jie Yu Bo Zhang AAML 158 63 0 26 Dec 2022
REAP: A Large-Scale Realistic Adversarial Patch BenchmarkIEEE International Conference on Computer Vision (ICCV), 2022 Nabeel Hingun Chawin Sitawarin Jerry Li David Wagner AAML 189 22 0 12 Dec 2022
Suppress with a Patch: Revisiting Universal Adversarial Patch Attacks against Object Detection Svetlana Pavlitskaya Jonas Hendl Sebastian Kleim Leopold Müller Fabian Wylczoch J. Marius Zöllner AAML 145 5 0 27 Sep 2022
On the interplay of adversarial robustness and architecture components: patches, convolution and attention Francesco Croce Matthias Hein 151 7 0 14 Sep 2022
Certified Defences Against Adversarial Patch Attacks on Semantic SegmentationInternational Conference on Learning Representations (ICLR), 2022 Maksym Yatsura K. Sakmann N. G. Hua Matthias Hein J. H. Metzen AAML 182 23 0 13 Sep 2022
Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and DefenseIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022 Bo Peng Bo Peng Jie Zhou Jianyue Xie Li Liu AAML 140 61 0 11 Sep 2022
Exploring Adversarial Robustness of Vision Transformers in the Spectral PerspectiveIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Gihyun Kim Juyeop Kim Jong-Seok Lee AAML ViT 90 10 0 20 Aug 2022
Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection Svetlana Pavlitskaya Bianca-Marina Codau J. Marius Zöllner AAML 133 13 0 15 Jul 2022
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the PatchIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Ke Xu Yao Xiao Zhao-Heng Zheng Kaijie Cai Ramkant Nevatia AAML 202 48 0 05 Jul 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 180 28 0 16 Jun 2022
Towards Practical Certifiable Patch Defense with Vision TransformerComputer Vision and Pattern Recognition (CVPR), 2022 Zhaoyu Chen Yue Liu Jianghe Xu Shuang Wu Shouhong Ding Wenqiang Zhang AAML ViT 144 70 0 16 Mar 2022
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial PatchesPattern Recognition (Pattern Recogn.), 2022 Maura Pintor Daniele Angioni Angelo Sotgiu Christian Scano Ambra Demontis Battista Biggio Fabio Roli AAML 212 56 0 07 Mar 2022
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic MaskingIEEE Symposium on Security and Privacy (IEEE S&P), 2022 Chong Xiang Alexander Valtchanov Saeed Mahloujifar Prateek Mittal AAML 192 33 0 03 Feb 2022
ROOM: Adversarial Machine Learning Attacks Under Real-Time ConstraintsIEEE International Joint Conference on Neural Network (IJCNN), 2022 Amira Guesmi Khaled N. Khasawneh Nael B. Abu-Ghazaleh Ihsen Alouani AAML 118 16 0 05 Jan 2022
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection Jiangjiang Liu Alexander Levine Chun Pong Lau Ramalingam Chellappa Soheil Feizi AAML 179 109 0 08 Dec 2021
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes Utku Ozbulak Maura Pintor Arnout Van Messem W. D. Neve AAML 96 6 0 22 Nov 2021
Are Vision Transformers Robust to Patch Perturbations?European Conference on Computer Vision (ECCV), 2021 Jindong Gu Volker Tresp Yao Qin AAML ViT 171 74 0 20 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 278 65 0 19 Nov 2021
Generative Dynamic Patch Attack Xiang Li Shihao Ji AAML 180 28 0 08 Nov 2021
Identification of Attack-Specific Signatures in Adversarial Examples Hossein Souri Pirazh Khorramshahi Chun Pong Lau Micah Goldblum Rama Chellappa AAML MLAU 208 4 0 13 Oct 2021
Certified Patch Robustness via Smoothed Vision TransformersComputer Vision and Pattern Recognition (CVPR), 2021 Hadi Salman Saachi Jain Eric Wong Aleksander Mkadry AAML 155 65 0 11 Oct 2021
Adversarial Attacks in a Multi-view Setting: An Empirical Study of the Adversarial Patches Inter-view TransferabilityInternational Conference on Cyberworlds (CW), 2021 Bilel Tarchoun Ihsen Alouani Anouar Ben Khalifa Mohamed Ali Mahjoub AAML 69 7 0 10 Oct 2021
Reversible Attack based on Local Visual Adversarial Perturbation Li Chen Shaowei Zhu Z. Yin AAML 162 9 0 06 Oct 2021
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier Chong Xiang Saeed Mahloujifar Prateek Mittal VLM AAML 169 91 0 20 Aug 2021
Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile DevicesIEEE Internet of Things Journal (IEEE IoT Journal), 2021 Tao Bai Jinqi Luo Jun Zhao AAML 112 37 0 29 Jun 2021
Who is Responsible for Adversarial Defense? Kishor Datta Gupta D. Dasgupta AAML 73 2 0 27 Jun 2021
Selection of Source Images Heavily Influences the Effectiveness of Adversarial AttacksBritish Machine Vision Conference (BMVC), 2021 Utku Ozbulak Esla Timothy Anzaku W. D. Neve Arnout Van Messem AAML 201 12 0 14 Jun 2021
Verifying Quantized Neural Networks using SMT-Based Model Checking Luiz Sena Xidan Song E. Alves I. Bessa Edoardo Manino Lucas C. Cordeiro Eddie Batista de Lima Filho 178 13 0 10 Jun 2021
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking Zhenbang Li Yaya Shi Jin Gao Shaoru Wang Bing Li Pengpeng Liang Weiming Hu AAML 135 30 0 06 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 228 61 0 29 Apr 2021
PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches Chong Xiang Prateek Mittal AAML 115 54 0 26 Apr 2021
Adversarial Sticker: A Stealthy Attack Method in the Physical WorldIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Xingxing Wei Yingjie Guo Jie Yu AAML 164 152 0 14 Apr 2021
ExAD: An Ensemble Approach for Explanation-based Adversarial Detection R. Vardhan Ninghao Liu Phakpoom Chinprutthiwong Weijie Fu Zhen Hu Helen Zhou G. Gu AAML 151 5 0 22 Mar 2021
A Real-time Defense against Website Fingerprinting Attacks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 101 21 0 08 Feb 2021
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding AttacksConference on Computer and Communications Security (CCS), 2021 Chong Xiang Prateek Mittal AAML 204 67 0 05 Feb 2021
Defenses Against Multi-Sticker Physical Domain Attacks on Classifiers Xinwei Zhao Matthew C. Stamm AAML 72 4 0 26 Jan 2021
FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems Lu Chen Jiao Sun Wenyuan Xu AAML 68 18 0 15 Dec 2020
Visually Imperceptible Adversarial Patch Attacks on Digital Images Yaguan Qian Jiamin Wang Bin Wang Xiang Ling Zhaoquan Gu Chunming Wu Wassim Swaileh AAML 117 2 0 02 Dec 2020
Incorporating Hidden Layer representation into Adversarial Attacks and Defences Haojing Shen Sihong Chen Ran Wang Xizhao Wang AAML 99 0 0 28 Nov 2020