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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
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature Juanjuan Weng Zhiming Luo Dazhen Lin Shaozi Li Zhun Zhong AAML FedML 119 7 0 02 May 2023
Physical Adversarial Attacks for Surveillance: A Survey Kien Nguyen Thanh Tharindu Fernando Clinton Fookes Sridha Sridharan AAML 101 8 0 01 May 2023
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal Naresh Gurulingan Bahram Zonooz Elahe Arani 88 2 0 30 Apr 2023
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 111 11 0 30 Apr 2023
The Power of Typed Affine Decision Structures: A Case Study Gerrit Nolte Maximilian Schlüter Alnis Murtovi Bernhard Steffen AAML 44 3 0 28 Apr 2023
Improve Video Representation with Temporal Adversarial Augmentation Jinhao Duan Quanfu Fan Hao-Ran Cheng Xiaoshuang Shi Kaidi Xu AAML AI4TS ViT 56 2 0 28 Apr 2023
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization Anh-Vu Bui Trung Le He Zhao Quan Hung Tran Paul Montague Dinh Q. Phung AAML 66 0 0 26 Apr 2023
Lyapunov-Stable Deep Equilibrium Models Haoyu Chu Shikui Wei Ting Liu Yao-Min Zhao Yuto Miyatake AAML 64 4 0 25 Apr 2023
Evaluating Adversarial Robustness on Document Image Classification Timothée Fronteau Arnaud Paran A. Shabou AAML 85 3 0 24 Apr 2023
StyLess: Boosting the Transferability of Adversarial Examples Kaisheng Liang Bin Xiao AAML 71 18 0 23 Apr 2023
Diversifying the High-level Features for better Adversarial Transferability Zhiyuan Wang Zeliang Zhang Siyuan Liang Xiaosen Wang AAML 129 22 0 20 Apr 2023
Towards the Universal Defense for Query-Based Audio Adversarial Attacks Feng Guo Zhengyi Sun Yuxuan Chen Lei Ju AAML 59 4 0 20 Apr 2023
Wavelets Beat Monkeys at Adversarial Robustness Jingtong Su Julia Kempe AAML OOD 45 2 0 19 Apr 2023
A Random-patch based Defense Strategy Against Physical Attacks for Face Recognition Systems Jiahao Xie Ye Luo Jianwei Lu AAML CVBM 33 3 0 16 Apr 2023
Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model Dingcheng Yang Wenjian Yu Zihao Xiao Jiaqi Luo AAML DiffM 60 5 0 14 Apr 2023
RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions Shaoyuan Xie Lingdong Kong Wenwei Zhang Jiawei Ren Liang Pan Kai-xiang Chen Ziwei Liu 95 25 0 13 Apr 2023
False Claims against Model Ownership Resolution Jian Liu Rui Zhang S. Szyller Kui Ren Nirmal Asokan AAML MLAU 123 12 0 13 Apr 2023
Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval Yanru Xiao Cong Wang Xing Gao AAML 132 0 0 09 Apr 2023
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks Alberto Marchisio Antonio De Marco Alessio Colucci Maurizio Martina Mohamed Bennai AAML 60 2 0 08 Apr 2023
Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack Dashan Gao Yunce Zhao Yinghua Yao Zeqi Zhang Bifei Mao Xin Yao AAML 66 0 0 08 Apr 2023
Probing the Purview of Neural Networks via Gradient Analysis Jinsol Lee Charles Lehman Mohit Prabhushankar Ghassan AlRegib 104 8 0 06 Apr 2023
Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability Martin Gubri Maxime Cordy Yves Le Traon AAML 92 3 1 05 Apr 2023
How to choose your best allies for a transferable attack? Thibault Maho Seyed-Mohsen Moosavi-Dezfooli Teddy Furon AAML 63 1 0 05 Apr 2023
Randomized Adversarial Style Perturbations for Domain Generalization Taehoon Kim Bohyung Han AAML 87 2 0 04 Apr 2023
CGDTest: A Constrained Gradient Descent Algorithm for Testing Neural Networks Vineel Nagisetty Laura Graves Guanting Pan Piyush Jha Vijay Ganesh AAML OOD 59 1 0 04 Apr 2023
A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection Hongzhan Lin Jing Ma Ruichao Yang Zhiwei Yang Mingfei Cheng 76 2 0 04 Apr 2023
A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service Inference Abhinav Kumar Miguel A. Guirao Aguilera R. Tourani Satyajayant Misra AAML 65 0 0 31 Mar 2023
Fooling Polarization-based Vision using Locally Controllable Polarizing Projection Zhuoxiao Li Zhihang Zhong S. Nobuhara Ko Nishino Yinqiang Zheng AAML 91 1 0 31 Mar 2023
Fooling the Image Dehazing Models by First Order Gradient Jie Gui Xiaofeng Cong Chengwei Peng Yuan Yan Tang James T. Kwok AAML 49 9 0 30 Mar 2023
Targeted Adversarial Attacks on Wind Power Forecasts René Heinrich Christoph Scholz S. Vogt Malte Lehna AAML 102 16 0 29 Mar 2023
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids C. Ardito Yashar Deldjoo Tommaso Di Noia E. Sciascio Fatemeh Nazary Giovanni Servedio AAML 38 1 0 28 Mar 2023
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization Jianping Zhang Yizhan Huang Weibin Wu Michael R. Lyu AAML ViT 80 54 0 28 Mar 2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method Jianping Zhang Jen-tse Huang Wenxuan Wang Yichen Li Weibin Wu Xiaosen Wang Yuxin Su Michael R. Lyu AAML 109 52 0 28 Mar 2023
EMShepherd: Detecting Adversarial Samples via Side-channel Leakage Ruyi Ding Gongye Cheng Siyue Wang A. A. Ding Yunsi Fei AAML 49 6 0 27 Mar 2023
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis T. Le Hao Phung Thuan Hoang Nguyen Quan Dao Ngoc N. Tran Anh Tran 109 100 0 27 Mar 2023
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging Alessandro Fontanella Antreas Antoniou Wenwen Li Joanna M. Wardlaw Grant Mair Emanuele Trucco Amos Storkey MedIm 83 11 0 27 Mar 2023
Improving the Transferability of Adversarial Examples via Direction Tuning Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 68 14 0 27 Mar 2023
AdvCheck: Characterizing Adversarial Examples via Local Gradient Checking Ruoxi Chen Haibo Jin Jinyin Chen Haibin Zheng AAML 49 0 0 25 Mar 2023
Federated Learning without Full Labels: A Survey Yilun Jin Yang Liu Kai Chen Qian Yang FedML 85 26 0 25 Mar 2023
Ensemble-based Blackbox Attacks on Dense Prediction Zikui Cai Yaoteng Tan M. Salman Asif AAML 67 17 0 25 Mar 2023
Effective black box adversarial attack with handcrafted kernels P. Dvorácek P. Hurtík Petra Stevuliáková AAML 57 0 0 24 Mar 2023
Watch Out for the Confusing Faces: Detecting Face Swapping with the Probability Distribution of Face Identification Models Yuxuan Duan Xuhong Zhang Chuer Yu Zonghui Wang S. Ji Wenzhi Chen AAML CVBM 64 0 0 23 Mar 2023
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition Zexin Li Bangjie Yin Taiping Yao Junfeng Guo Shouhong Ding Simin Chen Cong Liu AAML 57 36 0 22 Mar 2023
Distribution-restrained Softmax Loss for the Model Robustness Hao Wang Chen Li Jinzhe Jiang Xin Zhang Yaqian Zhao Weifeng Gong OOD 94 2 0 22 Mar 2023
Wasserstein Adversarial Examples on Univariant Time Series Data Wenjie Wang Li Xiong Jian Lou AAML 40 0 0 22 Mar 2023
State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems Jun-bin Fang You Jiang Canjian Jiang Z. L. Jiang Siu-Ming Yiu Chuanyi Liu AAML 68 17 0 22 Mar 2023
Efficient Decision-based Black-box Patch Attacks on Video Recognition Kaixun Jiang Zhaoyu Chen Tony Huang Jiafeng Wang Dingkang Yang Yue Liu Yan Wang Wenqiang Zhang AAML 92 23 0 21 Mar 2023
Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense B. Le Shahroz Tariq Simon S. Woo AAML 49 0 0 21 Mar 2023
Unlocking Layer-wise Relevance Propagation for Autoencoders Kenyu Kobayashi Renata Khasanova Arno Schneuwly Felix Schmidt Matteo Casserini FAtt 32 0 0 21 Mar 2023
Data-centric Artificial Intelligence: A Survey Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Zhimeng Jiang Shaochen Zhong Helen Zhou 119 215 0 17 Mar 2023