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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability Bin Chen Jia-Li Yin Shukai Chen Bo-Hao Chen Ximeng Liu AAML 112 44 0 05 Aug 2023
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness Ruoxi Qin Linyuan Wang Xuehui Du Xing-yuan Chen Binghai Yan AAML 106 1 0 01 Aug 2023
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack HaiXiang Zhu Zhaoqing Yang Weiwei Shang Yuren Wu AAML FAtt 80 3 0 01 Aug 2023
On Neural Network approximation of ideal adversarial attack and convergence of adversarial training Rajdeep Haldar Qifan Song AAML 53 0 0 30 Jul 2023
R-LPIPS: An Adversarially Robust Perceptual Similarity Metric Sara Ghazanfari S. Garg Prashanth Krishnamurthy Farshad Khorrami Alexandre Araujo 94 23 0 27 Jul 2023
Defending Adversarial Patches via Joint Region Localizing and Inpainting Junwen Chen Xingxing Wei AAML 40 1 0 26 Jul 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 48 1 0 24 Jul 2023
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks Mingwen Shao Lingzhuang Meng Yuanjian Qiao Lixu Zhang W. Zuo DiffM 94 1 0 24 Jul 2023
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models Xuelong Dai Kaisheng Liang Bin Xiao DiffM 115 29 0 24 Jul 2023
Downstream-agnostic Adversarial Examples Ziqi Zhou Shengshan Hu Rui-Qing Zhao Qian Wang L. Zhang Junhui Hou Hai Jin SILM AAML 88 25 0 23 Jul 2023
Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing Dong Huang Qi Bu Yichao Fu Yuhao Qing Junjie Chen Heming Cui AAML 93 2 0 20 Jul 2023
CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space Haibin Zheng Jinyin Chen Haibo Jin AAML 53 7 0 18 Jul 2023
Discretization-based ensemble model for robust learning in IoT Anahita Namvar Chandra Thapa S. Kanhere AAML OOD 62 1 0 18 Jul 2023
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems Xugui Zhou Anqi Chen Maxfield Kouzel Haotian Ren Morgan McCarty Cristina Nita-Rotaru H. Alemzadeh AAML 100 2 0 18 Jul 2023
Glamour muscles: why having a body is not what it means to be embodied Shawn L. E. Beaulieu Sam Kriegman AI4CE 54 0 0 17 Jul 2023
Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector Shuohao Lin Ernie Chu Che-Hsien Lin Jun-Cheng Chen Jia-Ching Wang DiffM 69 10 0 16 Jul 2023
On the Robustness of Split Learning against Adversarial Attacks Mingyuan Fan Cen Chen Chengyu Wang Wenmeng Zhou Jun Huang AAML 60 8 0 16 Jul 2023
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World Donghua Wang Wen Yao Tingsong Jiang Chong Li Xiaoqian Chen AAML 67 31 0 14 Jul 2023
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation Asif Hanif Muzammal Naseer Salman Khan M. Shah Fahad Shahbaz Khan AAML OOD 70 5 0 14 Jul 2023
Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects Rishabh Ranjan Mayank Vatsa Richa Singh 71 4 0 13 Jul 2023
Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems Eldor Abdukhamidov Mohammed Abuhamad Simon S. Woo Eric Chan-Tin Tamer Abuhmed AAML 50 1 0 13 Jul 2023
A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness Jovon Craig Joshua Andle Theodore S. Nowak Salimeh Yasaei Sekeh AAML 64 0 0 07 Jul 2023
Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints Matthias Anton Freiberger Peter Kun Christian Igel A. Løvlie S. Risi VLM AAML 110 2 0 07 Jul 2023
NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic Zióu Zheng Xiao-Dan Zhu AAML LRM 98 6 0 06 Jul 2023
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations Julia Lust Alexandru Paul Condurache AAML UQCV 54 0 0 05 Jul 2023
Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness C. Hartmann Lorenz Richter AAML 57 2 0 05 Jul 2023
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling Zhan Hu Wen-Sheng Chu Xiaopei Zhu Hui Zhang Bo Zhang Xiaolin Hu 83 31 0 04 Jul 2023
LEAT: Towards Robust Deepfake Disruption in Real-World Scenarios via Latent Ensemble Attack Joonkyo Shim H. Yoon DiffM AAML 110 2 0 04 Jul 2023
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification J. Wu Dit-Yan Yeung SILM 74 0 0 04 Jul 2023
Query-Efficient Decision-based Black-Box Patch Attack Zhaoyu Chen Yue Liu Shuang Wu Shouhong Ding Wenqiang Zhang AAML 87 35 0 02 Jul 2023
Brightness-Restricted Adversarial Attack Patch Mingzhen Shao AAML 40 1 0 01 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 118 9 0 01 Jul 2023
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection Huiming Sun Lan Fu Jinlong Li Qing Guo Zibo Meng Tianyun Zhang Yuewei Lin Hongkai Yu AAML 78 10 0 30 Jun 2023
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features Mingli Zhu Shaokui Wei H. Zha Baoyuan Wu AAML 84 38 0 29 Jun 2023
Does Saliency-Based Training bring Robustness for Deep Neural Networks in Image Classification? Ali Karkehabadi FAtt AAML 30 0 0 28 Jun 2023
Distributional Modeling for Location-Aware Adversarial Patches Xingxing Wei Shouwei Ruan Yinpeng Dong Hang Su DiffM 66 4 0 28 Jun 2023
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack Jie Ning Jiebao Sun Yao Li Zhichang Guo Wangmeng Zuo 69 6 0 28 Jun 2023
Boosting Adversarial Transferability with Learnable Patch-wise Masks Xingxing Wei Shiji Zhao AAML 85 10 0 28 Jun 2023
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets Yimu Wang Dinghuai Zhang Yihan Wu Heng Huang Hongyang R. Zhang AAML 57 1 0 27 Jun 2023
Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability Marco Alecci Mauro Conti Francesco Marchiori L. Martinelli Luca Pajola AAML 83 9 0 27 Jun 2023
FAIRER: Fairness as Decision Rationale Alignment Tianlin Li Qing Guo Aishan Liu Mengnan Du Zhiming Li Yang Liu 60 16 0 27 Jun 2023
On the Resilience of Machine Learning-Based IDS for Automotive Networks Ivo Zenden Han Wang Alfonso Iacovazzi A. Vahidi R. Blom S. Raza AAML 54 6 0 26 Jun 2023
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection Yueming Lyu Yue Jiang Ziwen He Bo Peng Yunfan Liu Jing Dong PICV AAML 92 9 0 26 Jun 2023
Verification of Neural Network Control Systems using Symbolic Zonotopes and Polynotopes Carlos Trapiello C. Combastel A. Zolghadri 29 2 0 26 Jun 2023
On Evaluating the Adversarial Robustness of Semantic Segmentation Models L. Halmosi Márk Jelasity AAML VLM 110 1 0 25 Jun 2023
Towards quantum enhanced adversarial robustness in machine learning Maxwell T. West S. Tsang J. S. Low C. Hill C. Leckie Lloyd C. L. Hollenberg S. Erfani Muhammad Usman AAML OOD 79 57 0 22 Jun 2023
Adversarial Attacks Neutralization via Data Set Randomization Mouna Rabhi Roberto Di Pietro AAML 60 0 0 21 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 126 12 0 21 Jun 2023
Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alexander Robey Fabian Latorre George J. Pappas Hamed Hassani Volkan Cevher AAML 158 13 0 19 Jun 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses M. Ferrag Othmane Friha B. Kantarci Norbert Tihanyi Lucas C. Cordeiro Merouane Debbah Djallel Hamouda Muna Al-Hawawreh K. Choo 150 50 0 17 Jun 2023