Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
Adversarial Attack and Defense in Deep Ranking Mo Zhou Le Wang Zhenxing Niu Qilin Zhang N. Zheng G. Hua OOD 34 14 0 07 Jun 2021
A Primer on Multi-Neuron Relaxation-based Adversarial Robustness Certification Kevin Roth AAML 4 2 0 06 Jun 2021
Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness Renjue Li Hanwei Zhang Pengfei Yang Cheng-Chao Huang Aimin Zhou Bai Xue Lijun Zhang FedML AAML 17 4 0 05 Jun 2021
BO-DBA: Query-Efficient Decision-Based Adversarial Attacks via Bayesian Optimization Zhuosheng Zhang Shucheng Yu AAML 19 1 0 04 Jun 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 31 43 0 03 Jun 2021
A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer Ao Chen Chen Li Hao Chen Hechen Yang Penghui Zhao Weiming Hu Wanli Liu Shuojia Zou M. Grzegorzek 24 2 0 03 Jun 2021
PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack Alexander Matyasko Lap-Pui Chau AAML 17 8 0 03 Jun 2021
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning K. Morik Helena Kotthaus Lukas Heppe Danny Heinrich Raphael Fischer Andrea Pauly Nico Piatkowski 23 4 0 01 Jun 2021
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning Haibin Wu Xu Li Andy T. Liu Zhiyong Wu Helen Meng Hung-yi Lee AAML SSL 50 29 0 01 Jun 2021
Generating Adversarial Examples with Graph Neural Networks Florian Jaeckle M. P. Kumar GAN AAML 20 21 0 30 May 2021
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows Samuel von Baussnern Johannes Otterbach Adrian Loy Mathieu Salzmann Thomas Wollmann 16 1 0 30 May 2021
Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks Ramy Maarouf Danish Sattar Ashraf Matrawy AAML 12 9 0 30 May 2021
Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice Rongzhou Bao Jiayi Wang Hai Zhao AAML 11 43 0 30 May 2021
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning Zhiyuan Zeng Keqing He Yuanmeng Yan Zijun Liu Yanan Wu Hong Xu Huixing Jiang Weiran Xu 19 64 0 29 May 2021
FoveaTer: Foveated Transformer for Image Classification Aditya Jonnalagadda Wei Wang B. S. Manjunath Miguel P. Eckstein ViT 38 23 0 29 May 2021
Visualizing Representations of Adversarially Perturbed Inputs D. Steinberg P. Munro 11 1 0 28 May 2021
DeepMoM: Robust Deep Learning With Median-of-Means Shih-Ting Huang Johannes Lederer FedML 29 6 0 28 May 2021
Adversarial Robustness against Multiple and Single $l_p$ -Threat Models via Quick Fine-Tuning of Robust Classifiers Francesco Croce Matthias Hein OOD AAML 28 18 0 26 May 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer Yuanmeng Yan Rumei Li Sirui Wang Fuzheng Zhang Wei Wu Weiran Xu SSL 52 546 0 25 May 2021
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes Hao Huang Yongtao Wang Zhaoyu Chen Yuze Zhang Yuheng Li Zhi Tang Wei Chu Jingdong Chen Weisi Lin K. Ma AAML 72 90 0 23 May 2021
Adversarial Attacks and Mitigation for Anomaly Detectors of Cyber-Physical Systems Yifan Jia Jingyi Wang Christopher M. Poskitt Sudipta Chattopadhyay Jun Sun Yuqi Chen AAML 23 26 0 22 May 2021
Adversarially robust change point detection Mengchu Li Yi Yu AAML 27 10 0 21 May 2021
Local Aggressive Adversarial Attacks on 3D Point Cloud Yiming Sun F. Chen Zhiyu Chen Mingjie Wang 3DPC AAML 26 16 0 19 May 2021
Adversarial Examples Detection with Bayesian Neural Network Yao Li Tongyi Tang Cho-Jui Hsieh T. C. Lee GAN AAML 38 3 0 18 May 2021
On the Robustness of Domain Constraints Ryan Sheatsley Blaine Hoak Eric Pauley Yohan Beugin Mike Weisman Patrick McDaniel AAML OOD 36 25 0 18 May 2021
High-Robustness, Low-Transferability Fingerprinting of Neural Networks Siyue Wang Xiao Wang Pin-Yu Chen Pu Zhao Xue Lin AAML 40 2 0 14 May 2021
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks Jinyin Chen Ruoxi Chen Haibin Zheng Zhaoyan Ming Wenrong Jiang Chen Cui AAML 25 10 0 14 May 2021
AVA: Adversarial Vignetting Attack against Visual Recognition Binyu Tian Felix Juefei Xu Qing Guo Xiaofei Xie Xiaohong Li Yang Liu AAML 21 31 0 12 May 2021
Improving Adversarial Transferability with Gradient Refining Guoqiu Wang Huanqian Yan Yingjie Guo Xingxing Wei AAML 19 8 0 11 May 2021
Adversarial examples attack based on random warm restart mechanism and improved Nesterov momentum Tian-zhou Li AAML 25 1 0 10 May 2021
Learning Image Attacks toward Vision Guided Autonomous Vehicles Hyung-Jin Yoon H. Jafarnejadsani P. Voulgaris AAML 15 3 0 09 May 2021
Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks Charles Jin Melinda Sun Martin Rinard AAML 8 6 0 08 May 2021
Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs Johannes Otterbach Thomas Wollmann 27 1 0 08 May 2021
The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems Dominik Dellermann A. Calma Nikolaus Lipusch Thorsten Weber Sascha Weigel P. Ebel HAI 33 179 0 07 May 2021
Understanding Catastrophic Overfitting in Adversarial Training Peilin Kang Seyed-Mohsen Moosavi-Dezfooli AAML 18 16 0 06 May 2021
Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model Ruoxi Qin Linyuan Wang Xing-yuan Chen Xuehui Du Bin Yan AAML 30 5 0 06 May 2021
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking Zhenbang Li Yaya Shi Jin Gao Shaoru Wang Bing Li Pengpeng Liang Weiming Hu AAML 39 26 0 06 May 2021
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks Faiq Khalid Muhammad Abdullah Hanif Muhammad Shafique AAML SILM 27 9 0 05 May 2021
Physical world assistive signals for deep neural network classifiers -- neither defense nor attack Camilo Pestana Wei Liu D. Glance R. Owens Ajmal Mian AAML 19 0 0 03 May 2021
A survey on VQA_Datasets and Approaches Yeyun Zou Qiyu Xie 45 18 0 02 May 2021
Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments Lifeng Zhou Pratap Tokekar 37 43 0 02 May 2021
A Perceptual Distortion Reduction Framework: Towards Generating Adversarial Examples with High Perceptual Quality and Attack Success Rate Ruijie Yang Yunhong Wang Ruikui Wang Yuanfang Guo AAML DiffM 21 1 0 01 May 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison Ahmed Aldahdooh W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 19 122 0 01 May 2021
Black-box adversarial attacks using Evolution Strategies Hao Qiu Leonardo Lucio Custode Giovanni Iacca AAML 33 18 0 30 Apr 2021
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection Hao Chen Chen Li Ge Wang Xirong Li M. Rahaman ... Yixin Li Wanli Liu Changhao Sun Shiliang Ai M. Grzegorzek ViT MedIm 34 182 0 29 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 13 58 0 29 Apr 2021
AdvHaze: Adversarial Haze Attack Ruijun Gao Qing Guo Felix Juefei Xu Hongkai Yu Wei Feng AAML 67 29 0 28 Apr 2021
Delving into Data: Effectively Substitute Training for Black-box Attack Wenxuan Wang Bangjie Yin Taiping Yao Li Zhang Yanwei Fu Shouhong Ding Jilin Li Feiyue Huang Xiangyang Xue AAML 60 63 0 26 Apr 2021
3D Adversarial Attacks Beyond Point Cloud Jinlai Zhang Lyujie Chen Binbin Liu Bojun Ouyang Qizhi Xie Jihong Zhu Weiming Li Yanmei Meng 3DPC 27 38 0 25 Apr 2021
Making Generated Images Hard To Spot: A Transferable Attack On Synthetic Image Detectors Xinwei Zhao Matthew C. Stamm AAML 31 4 0 25 Apr 2021