Adversarial Patch

27 December 2017

Justin Gilmer

Papers citing "Adversarial Patch"

50 / 234 papers shown

Title
Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores Hyunsik Na Wonho Lee Seungdeok Roh Sohee Park Daeseon Choi AAML 23 0 0 13 May 2025
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain Spyridon Raptis Haralampos-G. Stratigopoulos AAML 28 0 0 07 May 2025
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey Shashank Kapoor Sanjay Surendranath Girija Lakshit Arora Dipen Pradhan Ankit Shetgaonkar Aman Raj AAML 77 0 0 06 May 2025
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG Roie Kazoom Raz Lapid Moshe Sipper Ofer Hadar VLM ObjD AAML 69 0 0 07 Apr 2025
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions Giulia Marchiori Pietrosanti Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 89 0 0 02 Apr 2025
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios Jingzheng Li Xianglong Liu Shikui Wei Zhijun Chen Yangqiu Song Qing Guo Xianqi Yang Yanjun Pu Jiakai Wang AAML ELM 74 0 0 31 Mar 2025
GAN-Based Single-Stage Defense for Traffic Sign Classification Under Adversarial Patch Attack Abyad Enan M. Chowdhury AAML 58 0 0 16 Mar 2025
Adversarial Hubness in Multi-Modal Retrieval Tingwei Zhang Fnu Suya Rishi Jha Collin Zhang Vitaly Shmatikov AAML 85 1 0 18 Dec 2024
Transferable Adversarial Face Attack with Text Controlled Attribute Wenyun Li Zheng Zhang X. Lan D. Jiang AAML 83 1 0 16 Dec 2024
DiffPatch: Generating Customizable Adversarial Patches using Diffusion Models Zhixiang Wang Guangnan Ye Xueliang Wang Siheng Chen Zihan Wang Xingjun Ma Yu-Gang Jiang AAML DiffM 98 0 0 02 Dec 2024
Fall Leaf Adversarial Attack on Traffic Sign Classification Anthony Etim Jakub Szefer AAML 79 3 0 27 Nov 2024
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics Taowen Wang Dongfang Liu James Liang Wenhao Yang Qifan Wang Cheng Han Jiebo Luo Ruixiang Tang Ruixiang Tang AAML 82 3 0 18 Nov 2024
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum Nashrah Haque Xiang Li Zhehui Chen Yanzhao Wu Lei Yu Arun Iyengar Wenqi Wei DiffM AAML 30 0 0 17 Oct 2024
A Cost-Aware Approach to Adversarial Robustness in Neural Networks Charles Meyers Mohammad Reza Saleh Sedghpour Tommy Löfstedt Erik Elmroth OOD AAML 33 0 0 11 Sep 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Nils Philipp Walter Linara Adilova Jilles Vreeken Michael Kamp AAML 48 2 0 27 May 2024
CrossCert: A Cross-Checking Detection Approach to Patch Robustness Certification for Deep Learning Models Qili Zhou Zhengyuan Wei Haipeng Wang Bo Jiang William Chan AAML 40 1 0 13 May 2024
LSP Framework: A Compensatory Model for Defeating Trigger Reverse Engineering via Label Smoothing Poisoning Beichen Li Yuanfang Guo Heqi Peng Yangxi Li Yun-an Wang 26 0 0 19 Apr 2024
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics Victoria Leonenkova E. Shumitskaya Anastasia Antsiferova D. Vatolin 44 3 0 15 Apr 2024
Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner Attacks, And The Role of Distillation as Defense Mechanism Trilokesh Ranjan Sarkar Nilanjan Das Pralay Sankar Maitra Bijoy Some Ritwik Saha Orijita Adhikary Bishal Bose Jaydip Sen AAML 24 0 0 05 Apr 2024
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study Chenguang Wang Ruoxi Jia Xin Liu Dawn Song VLM 29 7 0 15 Mar 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation Chenxing Gao Hang Zhou Junqing Yu Yuteng Ye Jiale Cai Junle Wang Wei Yang AAML 32 3 0 10 Mar 2024
Effectiveness Assessment of Recent Large Vision-Language Models Yao Jiang Xinyu Yan Ge-Peng Ji Keren Fu Meijun Sun Huan Xiong Deng-Ping Fan Fahad Shahbaz Khan 37 14 0 07 Mar 2024
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation Wenyi Tan Yang Li Chenxing Zhao Zhunga Liu Quanbiao Pan AAML 28 3 0 28 Dec 2023
NeRFTAP: Enhancing Transferability of Adversarial Patches on Face Recognition using Neural Radiance Fields Xiaoliang Liu Shen Furao Feng Han Jian Zhao Changhai Nie AAML 28 0 0 29 Nov 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
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm S. M. Fazle J. Mondal Meem Arafat Manab Xi Xiao Sarfaraz Newaz AAML 29 0 0 18 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 40 16 0 01 Oct 2023
A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models Qili Zhou Zhengyuan Wei Haipeng Wang William Chan AAML 26 0 0 01 Aug 2023
Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches Pia Hanfeld Khaled Wahba Marina M.-C. Höhne Michael Bussmann Wolfgang Hönig AAML 28 0 0 01 Aug 2023
NSA: Naturalistic Support Artifact to Boost Network Confidence Abhijith Sharma Phil Munz Apurva Narayan AAML 30 1 0 27 Jul 2023
Random Position Adversarial Patch for Vision Transformers Mingzhen Shao ViT AAML 41 2 0 09 Jul 2023
A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness Jovon Craig Joshua Andle Theodore S. Nowak Salimeh Yasaei Sekeh AAML 47 0 0 07 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 33 7 0 01 Jul 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 26 11 0 21 Jun 2023
Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors Pia Hanfeld Marina M.-C. Höhne Michael Bussmann Wolfgang Hönig AAML 29 1 0 22 May 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser Astha Verma A. Subramanyam Siddhesh Bangar Naman Lal R. Shah Shiníchi Satoh 42 4 0 13 Apr 2023
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning Ajinkya Tejankar Maziar Sanjabi Qifan Wang Sinong Wang Hamed Firooz Hamed Pirsiavash L Tan AAML 30 19 0 04 Apr 2023
Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving Zijian Zhu Yichi Zhang Hai Chen Yinpeng Dong Shu Zhao Wenbo Ding Jiachen Zhong Shibao Zheng AAML 3DPC 40 38 0 30 Mar 2023
Physically Adversarial Infrared Patches with Learnable Shapes and Locations Xingxing Wei Jie Yu Yao Huang AAML 39 38 0 24 Mar 2023
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer Terence Jie Chua Wen-li Yu Junfeng Zhao AAML UQCV 24 1 0 18 Mar 2023
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems Amira Guesmi Muhammad Abdullah Hanif Muhammad Shafique AAML 51 17 0 02 Mar 2023
Single Image Backdoor Inversion via Robust Smoothed Classifiers Mingjie Sun Zico Kolter AAML 23 12 0 01 Mar 2023
Online Black-Box Confidence Estimation of Deep Neural Networks Fabian Woitschek G. Schneider UQCV 26 1 0 27 Feb 2023
Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study Fabian Woitschek G. Schneider AAML 38 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 30 32 0 27 Feb 2023
Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg Ayan Chakrabarti Chun-Ta Lu Hussein Hazimeh Otilia Stretcu ... Merve Kaya Cyrus Rashtchian Ariel Fuxman Mehmet Tek Sven Gowal AAML 37 10 0 30 Jan 2023
OccRob: Efficient SMT-Based Occlusion Robustness Verification of Deep Neural Networks Xingwu Guo Ziwei Zhou Yueling Zhang Guy Katz Hao Fei AAML 37 5 0 27 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 35 5 0 11 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 44 2 0 03 Jan 2023
ExploreADV: Towards exploratory attack for Neural Networks Tianzuo Luo Yuyi Zhong S. Khoo AAML 24 1 0 01 Jan 2023