Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 1,598 papers shown

Title
Input Space Mode Connectivity in Deep Neural Networks Jakub Vrabel Ori Shem-Ur Yaron Oz David Krueger 48 1 0 09 Sep 2024
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures Xinheng Xie Kureha Yamaguchi Margaux Leblanc Simon Malzard Varun Chhabra Victoria Nockles Yue-bo Wu AAML 37 0 0 08 Sep 2024
A practical approach to evaluating the adversarial distance for machine learning classifiers Georg Siedel Ekagra Gupta Andrey Morozov AAML 30 0 0 05 Sep 2024
AdvSecureNet: A Python Toolkit for Adversarial Machine Learning Melih Catal Manuel Günther AAML 18 0 0 04 Sep 2024
Adversarial Learning for Neural PDE Solvers with Sparse Data Yunpeng Gong Yongjie Hou Zhenzhong Wang Zexin Lin Min Jiang AAML 32 4 0 04 Sep 2024
One-Index Vector Quantization Based Adversarial Attack on Image Classification Haiju Fan Xiaona Qin Shuang Chen Hubert P. H. Shum Ming Li 21 0 0 02 Sep 2024
Robust off-policy Reinforcement Learning via Soft Constrained Adversary Kosuke Nakanishi Akihiro Kubo Yuji Yasui Shin Ishii 40 0 0 31 Aug 2024
LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet Nathaniel Li Ziwen Han Ian Steneker Willow Primack Riley Goodside Hugh Zhang Zifan Wang Cristina Menghini Summer Yue AAML MU 44 39 0 27 Aug 2024
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures Pooja Krishan Rohan Mohapatra Saptarshi Sengupta AAML 27 0 0 27 Aug 2024
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing Zhibo Jin Jiayu Zhang Zhiyu Zhu Chenyu Zhang Jiahao Huang Jianlong Zhou Fang Chen AAML 29 0 0 22 Aug 2024
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks Zhibo Jin Jiayu Zhang Zhiyu Zhu Xinyi Wang Yiyun Huang Huaming Chen AAML 32 1 0 22 Aug 2024
Correlation Analysis of Adversarial Attack in Time Series Classification Zhengyang Li Wenhao Liang Chang Dong Weitong Chen Dong Huang AAML 27 0 0 21 Aug 2024
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification Hanrui Wang Ruoxi Sun Cunjian Chen Minhui Xue Lay-Ki Soon Shuo Wang Zhe Jin DiffM AAML 23 2 0 20 Aug 2024
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models Cong Wan Yuhang He Xiang Song Yihong Gong DiffM AAML 29 7 0 20 Aug 2024
Attack Anything: Blind DNNs via Universal Background Adversarial Attack Jiawei Lian Shaohui Mei Xiaofei Wang Yi Wang Lefan Wang Yingjie Lu Mingyang Ma Lap-Pui Chau AAML 29 1 0 17 Aug 2024
PADetBench: Towards Benchmarking Physical Attacks against Object Detection Jiawei Lian Jianhong Pan Lefan Wang Yi Wang Lap-Pui Chau Shaohui Mei AAML 31 0 0 17 Aug 2024
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack Zhibo Jin Jiayu Zhang Zhiyu Zhu Chenyu Zhang Jiahao Huang Jianlong Zhou Fang Chen AAML 33 1 0 14 Aug 2024
EdgeShield: A Universal and Efficient Edge Computing Framework for Robust AI Duo Zhong Bojing Li Xiang Chen Chenchen Liu AAML 16 0 0 08 Aug 2024
MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled Cyber-Physical Systems Renzhi Wang Zhehua Zhou Jiayang Song Xuan Xie Xiaofei Xie Lei Ma 30 1 0 07 Aug 2024
Understanding How Blind Users Handle Object Recognition Errors: Strategies and Challenges Jonggi Hong Hernisa Kacorri HAI 26 2 0 06 Aug 2024
On the Robustness of Malware Detectors to Adversarial Samples Muhammad Salman B. Zhao H. Asghar Muhammad Ikram Sidharth Kaushik M. Kâafar AAML 29 0 0 05 Aug 2024
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics Alexander Gushchin Khaled Abud Georgii Bychkov E. Shumitskaya Anna Chistyakova Sergey Lavrushkin Bader Rasheed Kirill Malyshev D. Vatolin Anastasia Antsiferova AAML 44 2 0 02 Aug 2024
Towards Reliable Advertising Image Generation Using Human Feedback Thorben Werner Wei Feng Haohan Wang Yaoyu Li Jingsen Wang ... Maximilian Stubbemann Junsheng Jin Lars Schmidt-Thieme Zhangang Lin Jingping Shao 48 3 0 01 Aug 2024
Securing the Diagnosis of Medical Imaging: An In-depth Analysis of AI-Resistant Attacks A. Biswas Md Abdullah Al Nasim Chen Chen Weiming Zhuang Abdur Rashid AAML 26 0 0 01 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 28 1 0 31 Jul 2024
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks Yunfeng Diao Na Zhai Changtao Miao Xun Yang Meng Wang Xun Yang Meng Wang AAML 39 1 0 30 Jul 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML VLM 60 4 0 30 Jul 2024
Towards Robust Vision Transformer via Masked Adaptive Ensemble Fudong Lin Jiadong Lou Xu Yuan Nianfeng Tzeng ViT AAML 28 1 0 22 Jul 2024
Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection Youheng Sun Shengming Yuan Xuanhan Wang Lianli Gao Jingkuan Song AAML 22 2 0 17 Jul 2024
Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis Zhipeng He Chun Ouyang Laith Alzubaidi Alistair Barros Catarina Moreira AAML 23 0 0 16 Jul 2024
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images Mingyuan Fan Yang Liu Cen Chen Ximeng Liu AAML 23 0 0 13 Jul 2024
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off L. Halmosi Bálint Mohos Márk Jelasity AAML 21 1 0 12 Jul 2024
Refusing Safe Prompts for Multi-modal Large Language Models Zedian Shao Hongbin Liu Yuepeng Hu Neil Zhenqiang Gong MLLM LRM 41 1 0 12 Jul 2024
How to beat a Bayesian adversary Zihan Ding Kexin Jin J. Latz Chenguang Liu AAML BDL 27 0 0 11 Jul 2024
Boosting Adversarial Transferability for Skeleton-based Action Recognition via Exploring the Model Posterior Space Yunfeng Diao Baiqi Wu Ruixuan Zhang Xun Yang Meng Wang He Wang 29 0 0 11 Jul 2024
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems Yuxin Cao Yumeng Zhu Derui Wang Sheng Wen Minhui Xue Jin Lu Hao Ge AAML 40 0 0 11 Jul 2024
Improving the Transferability of Adversarial Examples by Feature Augmentation Donghua Wang Wen Yao Tingsong Jiang Xiaohu Zheng Junqi Wu Xiaoqian Chen AAML 42 0 0 09 Jul 2024
Remembering Everything Makes You Vulnerable: A Limelight on Machine Unlearning for Personalized Healthcare Sector Ahan Chatterjee Sai Anirudh Aryasomayajula Rajat Chaudhari Subhajit Paul Vishwa Mohan Singh AAML 22 0 0 05 Jul 2024
Self-Supervised Representation Learning for Adversarial Attack Detection Yi Li Plamen Angelov N. Suri SSL AAML 31 3 0 05 Jul 2024
Looking From the Future: Multi-order Iterations Can Enhance Adversarial Attack Transferability Zijian Ying Qianmu Li Tao Wang Zhichao Lian Shunmei Meng Xuyun Zhang 23 0 0 02 Jul 2024
DeepiSign-G: Generic Watermark to Stamp Hidden DNN Parameters for Self-contained Tracking A. Abuadbba Nicholas Rhodes Kristen Moore Bushra Sabir Shuo Wang Yansong Gao AAML 27 2 0 01 Jul 2024
Query-Efficient Hard-Label Black-Box Attack against Vision Transformers Chao Zhou Xiaowen Shi Yuan-Gen Wang ViT AAML 19 0 0 29 Jun 2024
Diffusion-based Adversarial Purification for Intrusion Detection Mohamed Amine Merzouk Erwan Beurier Reda Yaich Nora Boulahia-Cuppens Frédéric Cuppens AAML 23 0 0 25 Jun 2024
UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification Alvaro Lopez Pellicer Kittipos Giatgong Yi Li N. Suri Plamen Angelov AAML 26 3 0 24 Jun 2024
Understanding and Diagnosing Deep Reinforcement Learning Ezgi Korkmaz 25 3 0 23 Jun 2024
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection Yi Li Plamen Angelov Zhengxin Yu Alvaro Lopez Pellicer Neeraj Suri 26 2 0 22 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 73 1 0 21 Jun 2024
Enhancing robustness of data-driven SHM models: adversarial training with circle loss Xiangli Yang Xijie Deng Hanwei Zhang Yang Zou Jianxi Yang AAML 33 0 0 20 Jun 2024
Obfuscating IoT Device Scanning Activity via Adversarial Example Generation Haocong Li Yaxin Zhang Long Cheng Wenjia Niu Haining Wang Qiang Li AAML 33 0 0 17 Jun 2024
Imperceptible Face Forgery Attack via Adversarial Semantic Mask Decheng Liu Qixuan Su Chunlei Peng Nannan Wang Xinbo Gao AAML 42 1 0 16 Jun 2024