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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
Fuzziness-tuned: Improving the Transferability of Adversarial Examples Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 58 0 0 17 Mar 2023
Among Us: Adversarially Robust Collaborative Perception by Consensus Yiming Li Qi Fang Jiamu Bai Siheng Chen Felix Juefei Xu Chen Feng AAML 52 28 0 16 Mar 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks Huanran Chen Yichi Zhang Yinpeng Dong Xiao Yang Hang Su Junyi Zhu AAML 111 70 0 16 Mar 2023
Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems Islam Debicha Benjamin Cochez Tayeb Kenaza Thibault Debatty Jean-Michel Dricot Wim Mees AAML 55 5 0 13 Mar 2023
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems Islam Debicha Benjamin Cochez Tayeb Kenaza Thibault Debatty Jean-Michel Dricot Wim Mees AAML 59 37 0 12 Mar 2023
Adaptive Local Adversarial Attacks on 3D Point Clouds for Augmented Reality Weiquan Liu Shijun Zheng Cheng-i Wang 3DPC AAML 55 2 0 12 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples Jinwei Wang Hao Wu Haihua Wang Jiawei Zhang X. Luo Bin Ma AAML 55 0 0 08 Mar 2023
CUDA: Convolution-based Unlearnable Datasets Vinu Sankar Sadasivan Mahdi Soltanolkotabi Soheil Feizi MU 67 25 0 07 Mar 2023
Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors Raz Lapid Eylon Mizrahi Moshe Sipper AAML 64 1 0 07 Mar 2023
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration Juanjuan Weng Zhiming Luo Zhun Zhong Shaozi Li N. Sebe AAML 81 19 0 07 Mar 2023
Testing the Channels of Convolutional Neural Networks Kang Choi Donghyun Son Younghoon Kim Jiwon Seo 65 1 0 06 Mar 2023
Adversarial Attacks on Machine Learning in Embedded and IoT Platforms Christian Westbrook S. Pasricha AAML 65 3 0 03 Mar 2023
AdvART: Adversarial Art for Camouflaged Object Detection Attacks Amira Guesmi Ioan Marius Bilasco Mohamed Bennai Ihsen Alouani GAN AAML 82 21 0 03 Mar 2023
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation Amira Guesmi Muhammad Abdullah Hanif Ihsen Alouani Mohamed Bennai AAML 79 9 0 02 Mar 2023
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems Amira Guesmi Muhammad Abdullah Hanif Mohamed Bennai AAML 98 17 0 02 Mar 2023
Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process Mingze Ni Zhen-Biao Sun Wei Liu AAML SILM 79 7 0 01 Mar 2023
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors Long Tang Dengpan Ye Zhenhao Lu Yunming Zhang Shengshan Hu Yue Xu Chuanxi Chen AAML 86 9 0 01 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 115 85 0 28 Feb 2023
Adversarial Attack with Raindrops Jiyuan Liu Bingyi Lu Mingkang Xiong Tao Zhang Huilin Xiong 65 19 0 28 Feb 2023
Online Black-Box Confidence Estimation of Deep Neural Networks Fabian Woitschek G. Schneider UQCV 63 1 0 27 Feb 2023
Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study Fabian Woitschek G. Schneider AAML 73 9 0 27 Feb 2023
CBA: Contextual Background Attack against Optical Aerial Detection in the Physical World Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Shaohui Mei AAML 127 36 0 27 Feb 2023
Chaotic Variational Auto encoder-based Adversarial Machine Learning Pavan Venkata Sainadh Reddy Yelleti Vivek Gopi Pranay V. Ravi DRL AAML 85 1 0 25 Feb 2023
Less is More: Data Pruning for Faster Adversarial Training Yize Li Pu Zhao Xinyu Lin B. Kailkhura Ryan Goldh AAML 115 11 0 23 Feb 2023
MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 98 10 0 21 Feb 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition Jiadi Yao H. Luo Xiao-Lei Zhang AAML 61 2 0 21 Feb 2023
Generalization Bounds for Adversarial Contrastive Learning Xin Zou Weiwei Liu AAML 66 11 0 21 Feb 2023
Prompt Stealing Attacks Against Text-to-Image Generation Models Xinyue Shen Y. Qu Michael Backes Yang Zhang 83 38 0 20 Feb 2023
Stationary Point Losses for Robust Model Weiwei Gao Dazhi Zhang Yao Li Zhichang Guo Ovanes Petrosian OOD 102 0 0 19 Feb 2023
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection Aishan Liu Jun Guo Jiakai Wang Siyuan Liang Renshuai Tao Wenbo Zhou Cong Liu Xianglong Liu Dacheng Tao AAML 107 66 0 19 Feb 2023
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space Weitang Liu Ying-Wai Li Yi-Zhuang You Jingbo Shang 38 1 0 19 Feb 2023
Delving into the Adversarial Robustness of Federated Learning Jie M. Zhang Yue Liu Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 84 38 0 19 Feb 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 112 23 0 19 Feb 2023
A Novel Noise Injection-based Training Scheme for Better Model Robustness Zeliang Zhang Jinyang Jiang Minjie Chen Zhiyuan Wang Yijie Peng Zhaofei Yu 63 3 0 17 Feb 2023
Raising the Cost of Malicious AI-Powered Image Editing Hadi Salman Alaa Khaddaj Guillaume Leclerc Andrew Ilyas Aleksander Madry DiffM 103 118 0 13 Feb 2023
Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images Xuxiang Sun Gong Cheng Lei Pei Hongda Li Junwei Han AAML 55 38 0 13 Feb 2023
Verifying Generalization in Deep Learning Guy Amir Osher Maayan Tom Zelazny Guy Katz Michael Schapira AAML AI4CE 81 14 0 11 Feb 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines Eugene Bagdasaryan Vitaly Shmatikov AAML 104 2 0 09 Feb 2023
Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models Shawn Shan Jenna Cryan Emily Wenger Haitao Zheng Rana Hanocka Ben Y. Zhao WIGM 80 189 0 08 Feb 2023
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 104 17 0 08 Feb 2023
Toward Face Biometric De-identification using Adversarial Examples Mahdieh Ghafourian Julian Fierrez Luis F. Gomez R. Vera-Rodríguez Aythami Morales Zohra Rezgui Raymond N. J. Veldhuis PICV AAML 52 7 0 07 Feb 2023
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection Federica Granese Marco Romanelli S. Garg Pablo Piantanida AAML 58 0 0 04 Feb 2023
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks Shashank Agnihotri Steffen Jung Margret Keuper AAML 95 22 0 04 Feb 2023
Lateralization in Agents' Decision Making: Evidence of Benefits/Costs from Artificial Intelligence Abubakar Siddique Will N. Browne Gina M. Grimshaw 25 0 0 03 Feb 2023
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 60 2 0 01 Feb 2023
On the Efficacy of Metrics to Describe Adversarial Attacks Tommaso Puccetti T. Zoppi Andrea Ceccarelli AAML 27 2 0 30 Jan 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example Zeliang Zhang Peihan Liu Xiaosen Wang Chenliang Xu AAML 62 3 0 30 Jan 2023
Lateralized Learning for Multi-Class Visual Classification Tasks Abubakar Siddique Will N. Browne Gina M. Grimshaw 39 2 0 30 Jan 2023
Semantic Adversarial Attacks on Face Recognition through Significant Attributes Yasmeen M. Khedr Yifeng Xiong Kun He AAML 76 2 0 28 Jan 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers Sungmin Cha Sungjun Cho Dasol Hwang Honglak Lee Taesup Moon Moontae Lee MU 151 43 0 27 Jan 2023