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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation Yang Lu Pinxin Qian Gang Huang Hanzi Wang 84 11 0 27 Mar 2023
Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks Tianrui Qin Xitong Gao Juanjuan Zhao Kejiang Ye Chengzhong Xu AAML MU 72 29 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 51 4 0 27 Mar 2023
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning Changdae Oh Hyeji Hwang Hee-young Lee Yongtaek Lim Geunyoung Jung Jiyoung Jung Hosik Choi Kyungwoo Song VLM VPVLM 141 62 0 26 Mar 2023
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks Jinyuan Jia Yupei Liu Yuepeng Hu Neil Zhenqiang Gong 70 13 0 26 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
Improving robustness of jet tagging algorithms with adversarial training: exploring the loss surface Annika Stein AAML OOD 23 1 0 25 Mar 2023
CFA: Class-wise Calibrated Fair Adversarial Training Zeming Wei Yifei Wang Yiwen Guo Yisen Wang AAML 104 54 0 25 Mar 2023
Backdoor Attacks with Input-unique Triggers in NLP Xukun Zhou Jiwei Li Tianwei Zhang Lingjuan Lyu Muqiao Yang Jun He SILM AAML 48 9 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
How many dimensions are required to find an adversarial example? Charles Godfrey Henry Kvinge Elise Bishoff Myles Mckay Davis Brown T. Doster E. Byler AAML 84 5 0 24 Mar 2023
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives Shunsuke Kitada FaML HAI AI4CE 68 1 0 24 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 80 0 0 24 Mar 2023
Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing Lin Li Michael W. Spratling AAML 137 4 0 24 Mar 2023
Poincaré ResNet Max van Spengler E. Berkhout Pascal Mettes SSL 88 13 0 24 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 59 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
Hard Sample Matters a Lot in Zero-Shot Quantization Huantong Li Xiangmiao Wu Fanbing Lv Daihai Liao Thomas H. Li Yonggang Zhang Bo Han Mingkui Tan MQ 80 21 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
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang Miaoxi Zhu Xiaobo Xia Li Shen Jun Yu Chen Gong Bo Han Bo Du Tongliang Liu 83 36 0 23 Mar 2023
Semantic Image Attack for Visual Model Diagnosis Jinqi Luo Zhaoning Wang Chenhuan Wu Dong Huang Fernando de la Torre AAML 66 1 0 23 Mar 2023
Controllable Inversion of Black-Box Face Recognition Models via Diffusion Manuel Kansy Anton Raël Graziana Mignone Jacek Naruniec Christopher Schroers Markus Gross Romann M. Weber DiffM 142 20 0 23 Mar 2023
Decentralized Adversarial Training over Graphs Ying Cao Elsa Rizk Stefan Vlaski Ali H. Sayed AAML 168 1 0 23 Mar 2023
Human Uncertainty in Concept-Based AI Systems Katherine M. Collins Matthew Barker M. Zarlenga Naveen Raman Umang Bhatt M. Jamnik Ilia Sucholutsky Adrian Weller Krishnamurthy Dvijotham 113 41 0 22 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 59 1 0 22 Mar 2023
Correlational Image Modeling for Self-Supervised Visual Pre-Training Wei Li Jiahao Xie Chen Change Loy SSL 96 12 0 22 Mar 2023
An Extended Study of Human-like Behavior under Adversarial Training Paul Gavrikov J. Keuper Margret Keuper AAML 61 9 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 77 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 94 2 0 22 Mar 2023
Wasserstein Adversarial Examples on Univariant Time Series Data Wenjie Wang Li Xiong Jian Lou AAML 45 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
Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense B. Le Shahroz Tariq Simon S. Woo AAML 58 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
Information-containing Adversarial Perturbation for Combating Facial Manipulation Systems Yao Zhu YueFeng Chen Xiaodan Li Rong Zhang Xiang Tian Bo Zheng Yao-wu Chen AAML 104 11 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 105 5 0 21 Mar 2023
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment Yiqing Zhang Xinming Huang Ziming Zhang 71 4 0 21 Mar 2023
Reliability in Semantic Segmentation: Are We on the Right Track? Pau de Jorge Riccardo Volpi Philip Torr Grégory Rogez UQCV 65 21 0 20 Mar 2023
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness Shoumik Saha Wenxiao Wang Yigitcan Kaya Soheil Feizi Tudor Dumitras AAML 63 1 0 20 Mar 2023
Adversarial Attacks against Binary Similarity Systems Gianluca Capozzi Daniele Cono DÉlia Giuseppe Antonio Di Luna Leonardo Querzoni AAML 62 2 0 20 Mar 2023
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage Song Park Sanghyuk Chun Byeongho Heo Wonjae Kim Sangdoo Yun VLM ViT 85 8 0 20 Mar 2023
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving Yinpeng Dong Cai Kang Jinlai Zhang Zijian Zhu Yikai Wang Xiaohu Yang Hang Su Xingxing Wei Jun Zhu 3DPC 105 95 0 20 Mar 2023