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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
Robust Feature-Level Adversaries are Interpretability Tools Stephen Casper Max Nadeau Dylan Hadfield-Menell Gabriel Kreiman AAML 191 28 0 07 Oct 2021
Automated Testing of AI Models Swagatam Haldar Deepak Vijaykeerthy Diptikalyan Saha VLM 44 0 0 07 Oct 2021
A Uniform Framework for Anomaly Detection in Deep Neural Networks Fangzhen Zhao Chenyi Zhang Naipeng Dong Zefeng You Zhenxin Wu AAML OOD OODD 64 9 0 06 Oct 2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 150 55 0 06 Oct 2021
Noisy Feature Mixup Soon Hoe Lim N. Benjamin Erichson Francisco Utrera Winnie Xu Michael W. Mahoney AAML 103 38 0 05 Oct 2021
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations Shasha Li Abhishek Aich Shitong Zhu M. Salman Asif Chengyu Song Amit K. Roy-Chowdhury S. Krishnamurthy AAML 193 39 0 05 Oct 2021
An Improved Genetic Algorithm and Its Application in Neural Network Adversarial Attack Dingming Yang Zeyu Yu H. Yuan Y. Cui AAML 78 17 0 05 Oct 2021
Benchmarking Safety Monitors for Image Classifiers with Machine Learning Raul Sena Ferreira J. Arlat Jérémie Guiochet H. Waeselynck 87 26 0 04 Oct 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 213 383 0 04 Oct 2021
MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles Yuejun Guo Qiang Hu Maxime Cordy Michail Papadakis Yves Le Traon AAML 50 3 0 27 Sep 2021
Interpretability in Safety-Critical FinancialTrading Systems Gabriel Deza Adelin Travers C. Rowat Nicolas Papernot AAML AIFin 104 1 0 24 Sep 2021
Robustness Analysis of Deep Learning Frameworks on Mobile Platforms Amin Eslami Abyane Hadi Hemmati AAML 77 3 0 20 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 137 16 0 20 Sep 2021
Adversarial Training with Contrastive Learning in NLP Daniela N. Rim DongNyeong Heo Heeyoul Choi AAML 59 14 0 19 Sep 2021
Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications Brian Kim Yi Shi Y. Sagduyu T. Erpek S. Ulukus AAML 83 27 0 16 Sep 2021
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns Prasanth Buddareddygari Travis Zhang Yezhou Yang Yi Ren AAML 61 15 0 16 Sep 2021
FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack Donghua Wang Tingsong Jiang Jialiang Sun Weien Zhou Xiaoya Zhang Zhiqiang Gong Wen Yao Xiaoqian Chen AAML 94 106 0 15 Sep 2021
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes Alessio Russo Alexandre Proutiere AAML 60 6 0 15 Sep 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models Kun Zhou Wayne Xin Zhao Sirui Wang Fuzheng Zhang Wei Wu Ji-Rong Wen AAML 56 8 0 13 Sep 2021
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding Tianda Li Ahmad Rashid A. Jafari Pranav Sharma A. Ghodsi Mehdi Rezagholizadeh AAML 122 5 0 13 Sep 2021
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos Nupur Thakur Baoxin Li AAML 83 2 0 13 Sep 2021
Mixing between the Cross Entropy and the Expectation Loss Terms Barak Battash Lior Wolf Tamir Hazan UQCV 93 0 0 12 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Shiyu Tang Ruihao Gong Yan Wang Aishan Liu Jiakai Wang ... Xianglong Liu Basel Alomair Alan Yuille Philip Torr Dacheng Tao VLM AAML 99 108 0 11 Sep 2021
Spatially Focused Attack against Spatiotemporal Graph Neural Networks Fuqiang Liu L. Miranda-Moreno Lijun Sun AAML AI4TS 49 5 0 10 Sep 2021
Multi-granularity Textual Adversarial Attack with Behavior Cloning Yangyi Chen Jingtong Su Wei Wei AAML 52 33 0 09 Sep 2021
Energy Attack: On Transferring Adversarial Examples Ruoxi Shi Borui Yang Yangzhou Jiang Chenglong Zhao Bingbing Ni AAML 30 2 0 09 Sep 2021
Towards Transferable Adversarial Attacks on Vision Transformers Zhipeng Wei Jingjing Chen Micah Goldblum Zuxuan Wu Tom Goldstein Yu-Gang Jiang ViT AAML 100 124 0 09 Sep 2021
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression Canwen Xu Wangchunshu Zhou Tao Ge Kelvin J. Xu Julian McAuley Furu Wei 73 42 0 07 Sep 2021
Adversarial Parameter Defense by Multi-Step Risk Minimization Zhiyuan Zhang Ruixuan Luo Xuancheng Ren Qi Su Liangyou Li Xu Sun AAML 64 6 0 07 Sep 2021
Robustness and Generalization via Generative Adversarial Training Omid Poursaeed Tianxing Jiang Harry Yang Serge Belongie SerNam Lim OOD AAML 68 26 0 06 Sep 2021
Tensor Normalization and Full Distribution Training Wolfgang Fuhl OOD 96 4 0 06 Sep 2021
Training Meta-Surrogate Model for Transferable Adversarial Attack Yunxiao Qin Yuanhao Xiong Jinfeng Yi Cho-Jui Hsieh AAML 72 18 0 05 Sep 2021
Towards Improving Adversarial Training of NLP Models Jin Yong Yoo Yanjun Qi AAML 206 127 0 01 Sep 2021
Spatio-Temporal Perturbations for Video Attribution Zhenqiang Li Weimin Wang Zuoyue Li Yifei Huang Yoichi Sato 60 6 0 01 Sep 2021
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction Zhenrui Yue Zhankui He Huimin Zeng Julian McAuley MLAU AAML 72 68 0 01 Sep 2021
ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation Ahmed A. Abusnaina Afsah Anwar Sultan Alshamrani Abdulrahman Alabduljabbar Rhongho Jang Daehun Nyang David A. Mohaisen AAML 34 1 0 30 Aug 2021
Investigating Vulnerabilities of Deep Neural Policies Ezgi Korkmaz AAML 55 35 0 30 Aug 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts Masanari Kimura Takuma Nakamura Yuki Saito OOD 96 3 0 30 Aug 2021
Disrupting Adversarial Transferability in Deep Neural Networks Christopher Wiedeman Ge Wang AAML 96 7 0 27 Aug 2021
Physical Adversarial Attacks on an Aerial Imagery Object Detector Andrew Du Bo Chen Tat-Jun Chin Yee Wei Law Michele Sasdelli Ramesh Rajasegaran Dillon Campbell AAML 128 63 0 26 Aug 2021
OOWL500: Overcoming Dataset Collection Bias in the Wild Brandon Leung Chih-Hui Ho Amir Persekian David Orozco Yen Chang Erik Sandström Bo Liu Nuno Vasconcelos 62 3 0 24 Aug 2021
Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks N. Mirnateghi Syed Afaq Ali Shah Bennamoun BDL AAML 26 2 0 23 Aug 2021
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness Md. Amirul Islam M. Kowal Konstantinos G. Derpanis Neil D. B. Bruce 56 8 0 23 Aug 2021
Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency Xueping Wang Shasha Li Min Liu Yaonan Wang Amit K. Roy-Chowdhury AAML 79 28 0 23 Aug 2021
AdvDrop: Adversarial Attack to DNNs by Dropping Information Ranjie Duan YueFeng Chen Dantong Niu Yun Yang •. A. K. Qin Yuan He AAML 82 92 0 20 Aug 2021
ASAT: Adaptively Scaled Adversarial Training in Time Series Zhiyuan Zhang Wei Li Ruihan Bao Keiko Harimoto Hao Sun Xu Sun AI4TS 87 5 0 20 Aug 2021
Application of Adversarial Examples to Physical ECG Signals Taiga Ono Takeshi Sugawara Jun Sakuma Tatsuya Mori AAML 25 1 0 20 Aug 2021
Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes Mingjun Yin Shasha Li Zikui Cai Chengyu Song M. Salman Asif Amit K. Roy-Chowdhury S. Krishnamurthy AAML 73 20 0 19 Aug 2021
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better Bojia Zi Shihao Zhao Xingjun Ma Yu-Gang Jiang AAML 72 102 0 18 Aug 2021
Adversarial Relighting Against Face Recognition Qian Zhang Qing Guo Ruijun Gao Felix Juefei Xu Hongkai Yu Wei Feng AAML 127 22 0 18 Aug 2021