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Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

50 / 4,017 papers shown

Title
GradMDM: Adversarial Attack on Dynamic Networks Jianhong Pan Lin Geng Foo Qichen Zheng Zhipeng Fan Hossein Rahmani Qiuhong Ke Jing Liu AAML 90 7 0 01 Apr 2023
Improving Fast Adversarial Training with Prior-Guided Knowledge Xiaojun Jia Yong Zhang Xingxing Wei Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 106 32 0 01 Apr 2023
Fooling Polarization-based Vision using Locally Controllable Polarizing Projection Zhuoxiao Li Zhihang Zhong S. Nobuhara Ko Nishino Yinqiang Zheng AAML 96 1 0 31 Mar 2023
Generating Adversarial Samples in Mini-Batches May Be Detrimental To Adversarial Robustness T. Redgrave Colton R. Crum AAML 40 0 0 30 Mar 2023
Fooling the Image Dehazing Models by First Order Gradient Jie Gui Xiaofeng Cong Chengwei Peng Yuan Yan Tang James T. Kwok AAML 59 9 0 30 Mar 2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness Wei Wei Jiahuan Zhou Yingying Wu AAML 51 0 0 29 Mar 2023
Latent Feature Relation Consistency for Adversarial Robustness Xingbin Liu Huafeng Kuang Hong Liu Xianming Lin Yongjian Wu Rongrong Ji AAML 61 3 0 29 Mar 2023
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion Haomin Zhuang Yihua Zhang Sijia Liu DiffM 85 70 0 29 Mar 2023
EMShepherd: Detecting Adversarial Samples via Side-channel Leakage Ruyi Ding Gongye Cheng Siyue Wang A. A. Ding Yunsi Fei AAML 54 7 0 27 Mar 2023
Learning Iterative Neural Optimizers for Image Steganography Xiangyu Chen Varsha Kishore Kilian Q. Weinberger 38 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 111 100 0 27 Mar 2023
Improving the Transferability of Adversarial Examples via Direction Tuning Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 75 14 0 27 Mar 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection Nicola Franco Daniel Korth J. Lorenz Karsten Roscher Stephan Guennemann 60 5 0 27 Mar 2023
CAT:Collaborative Adversarial Training Xingbin Liu Huafeng Kuang Xianming Lin Yongjian Wu Rongrong Ji AAML 59 4 0 27 Mar 2023
PIAT: Parameter Interpolation based Adversarial Training for Image Classification Kun He Xin Liu Yichen Yang Zhou Qin Weigao Wen Hui Xue John E. Hopcroft AAML 79 0 0 24 Mar 2023
Effective black box adversarial attack with handcrafted kernels P. Dvorácek P. Hurtík Petra Stevuliáková AAML 63 0 0 24 Mar 2023
Physically Adversarial Infrared Patches with Learnable Shapes and Locations Xingxing Wei Jie Yu Yao Huang AAML 82 41 0 24 Mar 2023
Feature Separation and Recalibration for Adversarial Robustness Woo Jae Kim Y. Cho Junsik Jung Sung-eui Yoon AAML 117 22 0 24 Mar 2023
Generalist: Decoupling Natural and Robust Generalization Hongjun Wang Yisen Wang OOD AAML 97 14 0 24 Mar 2023
Efficient Symbolic Reasoning for Neural-Network Verification Zi Wang S. Jha Krishnamurthy Dvijotham Dvijotham AAML NAI 94 2 0 23 Mar 2023
Optimization and Optimizers for Adversarial Robustness Hengyue Liang Buyun Liang Le Peng Ying Cui Tim Mitchell Ju Sun AAML 69 5 0 23 Mar 2023
Semantic Image Attack for Visual Model Diagnosis Jinqi Luo Zhaoning Wang Chenhuan Wu Dong Huang Fernando de la Torre AAML 71 1 0 23 Mar 2023
Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder Yun-Yun Tsai Ju-Chin Chao Albert Wen Zhaoyuan Yang Chengzhi Mao Tapan Shah Junfeng Yang AAML 68 1 0 22 Mar 2023
Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval Xunguang Wang Jiawang Bai Xin-Chao Xu Xuelong Li AAML 67 1 0 22 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 37 0 22 Mar 2023
Revisiting DeepFool: generalization and improvement Alireza Abdollahpourrostam Mahed Abroshan Seyed-Mohsen Moosavi-Dezfooli AAML 80 2 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 97 2 0 22 Mar 2023
Wasserstein Adversarial Examples on Univariant Time Series Data Wenjie Wang Li Xiong Jian Lou AAML 50 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 76 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 94 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 60 0 0 21 Mar 2023
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation Yuzheng Wang Zhaoyu Chen Dingkang Yang Pinxue Guo Kaixun Jiang Wenqiang Zhang Lizhe Qi AAML 67 6 0 21 Mar 2023
Boosting Verified Training for Robust Image Classifications via Abstraction Zhaodi Zhang Zhiyi Xue Yang Chen Si Liu Yueling Zhang Qingbin Liu Min Zhang 107 5 0 21 Mar 2023
Adversarial Attacks against Binary Similarity Systems Gianluca Capozzi Daniele Cono DÉlia Giuseppe Antonio Di Luna Leonardo Querzoni AAML 74 2 0 20 Mar 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 119 37 0 19 Mar 2023
FedRight: An Effective Model Copyright Protection for Federated Learning Jinyin Chen Mingjun Li Mingjun Li Haibin Zheng FedML 41 15 0 18 Mar 2023
$Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified $\ell_p$ Attacks$ Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified $\ell_p$ Attacks Ren Wang Yuxuan Li Sijia Liu AAML 75 0 0 17 Mar 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 106 29 0 17 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 102 11 0 17 Mar 2023
Exorcising ''Wraith'': Protecting LiDAR-based Object Detector in Automated Driving System from Appearing Attacks Qifan Xiao Xudong Pan Yifan Lu Mi Zhang Jiarun Dai Min Yang AAML 63 6 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 61 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 126 71 0 16 Mar 2023
Improving Adversarial Robustness with Hypersphere Embedding and Angular-based Regularizations Olukorede Fakorede Ashutosh Nirala Modeste Atsague Jin Tian AAML 43 5 0 15 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang Xinyu Lin Sijia Liu AAML MLAU 101 1 0 13 Mar 2023
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation Qihao Liu Adam Kortylewski Alan Yuille OODD 100 13 0 13 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 57 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 64 38 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
Improving the Robustness of Deep Convolutional Neural Networks Through Feature Learning Jin Ding Jie-Chao Zhao Yongyang Sun Ping Tan Ji-en Ma You-tong Fang AAML 83 1 0 11 Mar 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey Yulong Wang Tong Sun Shenghong Li Xinnan Yuan W. Ni Ekram Hossain H. Vincent Poor AAML 107 20 0 11 Mar 2023