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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,769 papers shown

Title
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks Alberto Marchisio Vojtěch Mrázek Andrea Massa Beatrice Bussolino Maurizio Martina Mohamed Bennai AAML 140 6 0 11 Oct 2022
Revisiting adapters with adversarial training Sylvestre-Alvise Rebuffi Francesco Croce Sven Gowal AAML 62 17 0 10 Oct 2022
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks Simin Chen Mirazul Haque Cong Liu Wei Yang 110 22 0 10 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective Yao Zhu YueFeng Chen Xiaodan Li Kejiang Chen Yuan He Xiang Tian Bo Zheng Yao-wu Chen Qingming Huang AAML 64 59 0 09 Oct 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints Yinpeng Dong Shouwei Ruan Hang Su Cai Kang Xingxing Wei Junyi Zhu AAML 85 50 0 08 Oct 2022
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs Prashant Pandey Aleti Vardhan Mustafa Chasmai Tanuj Sur Brejesh Lall AAML 57 9 0 07 Oct 2022
Pre-trained Adversarial Perturbations Y. Ban Yinpeng Dong AAML 98 24 0 07 Oct 2022
Towards Out-of-Distribution Adversarial Robustness Adam Ibrahim Charles Guille-Escuret Ioannis Mitliagkas Irina Rish David M. Krueger P. Bashivan OOD 51 6 0 06 Oct 2022
Image Masking for Robust Self-Supervised Monocular Depth Estimation Hemang Chawla Kishaan Jeeveswaran Elahe Arani Bahram Zonooz MDE 97 7 0 05 Oct 2022
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses Anshuman Chhabra Ashwin Sekhari P. Mohapatra OOD AAML 96 8 0 04 Oct 2022
Robustness Certification of Visual Perception Models via Camera Motion Smoothing Hanjiang Hu Zuxin Liu Linyi Li Jiacheng Zhu Ding Zhao AAML 52 6 0 04 Oct 2022
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop Weixia Zhang Dingquan Li Xiongkuo Min Guangtao Zhai Guodong Guo Xiaokang Yang Kede Ma OOD 81 35 0 03 Oct 2022
Push-Pull: Characterizing the Adversarial Robustness for Audio-Visual Active Speaker Detection Xuan-Bo Chen Haibin Wu Helen Meng Hung-yi Lee J. Jang AAML 106 4 0 03 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
Your Out-of-Distribution Detection Method is Not Robust! Mohammad Azizmalayeri Arshia Soltani Moakhar Arman Zarei Reihaneh Zohrabi M. T. Manzuri M. Rohban OODD 111 17 0 30 Sep 2022
Physical Adversarial Attack meets Computer Vision: A Decade Survey Hui Wei Hao Tang Xuemei Jia Zhixiang Wang Han-Bing Yu Zhubo Li Shiníchi Satoh Luc Van Gool Zheng Wang AAML 150 56 0 30 Sep 2022
Towards Lightweight Black-Box Attacks against Deep Neural Networks Chenghao Sun Yonggang Zhang Chaoqun Wan Qizhou Wang Ya Li Tongliang Liu Bo Han Xinmei Tian AAML MLAU 96 5 0 29 Sep 2022
A Survey on Physical Adversarial Attack in Computer Vision Donghua Wang Wen Yao Tingsong Jiang Guijian Tang Xiaoqian Chen AAML 156 39 0 28 Sep 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
Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems Nicholas Rober Sydney M. Katz Chelsea Sidrane Esen Yel Michael Everett Mykel J. Kochenderfer Jonathan P. How 92 28 0 28 Sep 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 98 4 0 26 Sep 2022
Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks Ehsan Nowroozi Mohammadreza Mohammadi E. Savaş Mauro Conti Yassine Mekdad AAML 77 8 0 25 Sep 2022
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning Zhengwei Fang Rui Wang Tao Huang L. Jing AAML 73 8 0 24 Sep 2022
State-driven Implicit Modeling for Sparsity and Robustness in Neural Networks Alicia Y. Tsai Juliette Decugis L. Ghaoui Alper Atamtürk 92 3 0 19 Sep 2022
Adversarial Color Projection: A Projector-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Ling Tian AAML 77 3 0 19 Sep 2022
Uncertainty Quantification of Collaborative Detection for Self-Driving Sanbao Su Yiming Li Sihong He Songyang Han Chen Feng Caiwen Ding Fei Miao 174 57 0 16 Sep 2022
Robust Ensemble Morph Detection with Domain Generalization Hossein Kashiani S. Sami Sobhan Soleymani Nasser M. Nasrabadi OOD AAML 83 8 0 16 Sep 2022
Improving Robust Fairness via Balance Adversarial Training Chunyu Sun Chenye Xu Chengyuan Yao Siyuan Liang Yichao Wu Ding Liang XiangLong Liu Aishan Liu 54 11 0 15 Sep 2022
PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack Junxuan Huang Yatong An Lu Cheng Bai Chen Junsong Yuan Chunming Qiao 3DPC 55 1 0 14 Sep 2022
TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack Yanyun Wang Dehui Du Haibo Hu Zi Liang Yuanhao Liu AAML AI4TS 107 3 0 14 Sep 2022
Universal Backdoor Attacks Detection via Adaptive Adversarial Probe Yuhang Wang Huafeng Shi Rui Min Ruijia Wu Siyuan Liang Yichao Wu Ding Liang Aishan Liu AAML 129 10 0 12 Sep 2022
Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization Ehsan Nowroozi Mohammadreza Mohammadi Pargol Golmohammadi Yassine Mekdad Mauro Conti Selcuk Uluagac AAML SILM 82 14 0 11 Sep 2022
Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense Bo Peng Bo Peng Jie Zhou Jianyue Xie Li Liu AAML 92 45 0 11 Sep 2022
The Space of Adversarial Strategies Ryan Sheatsley Blaine Hoak Eric Pauley Patrick McDaniel AAML 93 6 0 09 Sep 2022
Enhancing the Self-Universality for Transferable Targeted Attacks Zhipeng Wei Jingjing Chen Zuxuan Wu Yueping Jiang AAML 85 35 0 08 Sep 2022
Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer Cassidy Pirlot Richard C. Gerum Cory Efird J. Zylberberg Alona Fyshe OOD 70 6 0 06 Sep 2022
Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training Derek Everett A. Nguyen Luke E. Richards Edward Raff OODD 61 2 0 05 Sep 2022
Adversarial Detection: Attacking Object Detection in Real Time Han-Ching Wu Syed Yunas Sareh Rowlands Wenjie Ruan Johan Wahlstrom AAML 82 5 0 05 Sep 2022
Data Provenance via Differential Auditing Xin Mu Ming Pang Feida Zhu 36 1 0 04 Sep 2022
Revisiting Outer Optimization in Adversarial Training Ali Dabouei Fariborz Taherkhani Sobhan Soleymani Nasser M. Nasrabadi AAML 90 4 0 02 Sep 2022
Adversarial Color Film: Effective Physical-World Attack to DNNs Chen-Hao Hu Weiwen Shi AAML 176 14 0 02 Sep 2022
Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters Substitution Ming-Kuai Zhou Xiaobing Pei AAML 45 0 0 31 Aug 2022
A Black-Box Attack on Optical Character Recognition Systems Samet Bayram Kenneth Barner AAML 121 5 0 30 Aug 2022
Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies Yinghua Zhang Yangqiu Song Kun Bai Qian Yang AAML 65 1 0 28 Aug 2022
SA: Sliding attack for synthetic speech detection with resistance to clipping and self-splicing JiaCheng Deng Dong Li Yan Diqun Rangding Wang Zeng Jiaming AAML 63 0 0 27 Aug 2022
Anti-Retroactive Interference for Lifelong Learning Runqi Wang Yuxiang Bao Baochang Zhang Jianzhuang Liu Wentao Zhu Guodong Guo KELM CLL 68 21 0 27 Aug 2022
Neuromorphic Visual Scene Understanding with Resonator Networks Alpha Renner Lazar Supic Andreea Danielescu Giacomo Indiveri Bruno A. Olshausen Yulia Sandamirskaya Friedrich T. Sommer E. P. Frady 92 19 0 26 Aug 2022
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs Prashant Pandey Mustafa Chasmai Tanuj Sur Brejesh Lall 114 11 0 26 Aug 2022
Semantic Preserving Adversarial Attack Generation with Autoencoder and Genetic Algorithm Xinyi Wang S. Y. Enoch Dan Dongseong Kim AAML 39 2 0 25 Aug 2022
A Perturbation Resistant Transformation and Classification System for Deep Neural Networks Nathaniel R. Dean D. Sarkar AAML 17 0 0 25 Aug 2022