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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
Associative Adversarial Learning Based on Selective Attack Runqi Wang Xiaoyue Duan Baochang Zhang Shenjun Xue Wentao Zhu David Doermann G. Guo AAML 72 0 0 28 Dec 2021
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification Haibin Zheng Zhiqing Chen Tianyu Du Xuhong Zhang Yao Cheng S. Ji Jingyi Wang Yue Yu Jinyin Chen 80 58 0 25 Dec 2021
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping B. Ghavami Seyd Movi Zhenman Fang Lesley Shannon AAML 64 9 0 25 Dec 2021
Parameter identifiability of a deep feedforward ReLU neural network Joachim Bona-Pellissier François Bachoc François Malgouyres 95 17 0 24 Dec 2021
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art Xiang Ling Lingfei Wu Jiangyu Zhang Zhenqing Qu Wei Deng ... Chunming Wu S. Ji Tianyue Luo Jingzheng Wu Yanjun Wu AAML 145 83 0 23 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? Xinhsuai Dong Anh Tuan Luu Min Lin Shuicheng Yan Hanwang Zhang SILM AAML 71 62 0 22 Dec 2021
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation Zhongzhi Yu Y. Fu Sicheng Li Chaojian Li Yingyan Lin ViT 76 19 0 21 Dec 2021
Adversarially Robust Stability Certificates can be Sample-Efficient Thomas T. Zhang Stephen Tu Nicholas M. Boffi Jean-Jacques E. Slotine Nikolai Matni AAML 77 7 0 20 Dec 2021
Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network An Tao Yueqi Duan He Wang Ziyi Wu Pengliang Ji Haowen Sun Jie Zhou Jiwen Lu 160 1 0 17 Dec 2021
Robust Upper Bounds for Adversarial Training Dimitris Bertsimas Xavier Boix Kimberly Villalobos Carballo D. Hertog AAML 85 0 0 17 Dec 2021
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines Yuxuan Zhang B. Dong Felix Heide AAML 59 8 0 16 Dec 2021
Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs Ezgi Korkmaz 62 26 0 16 Dec 2021
Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning Tong Chen Zhan Ma AAML 73 32 0 16 Dec 2021
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 287 350 0 15 Dec 2021
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks Ian Ryu Huan Zhang Jun-Ho Choi Cho-Jui Hsieh Jong-Seok Lee AAML 79 5 0 15 Dec 2021
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training Chen Liu Zhichao Huang Mathieu Salzmann Tong Zhang Sabine Süsstrunk AAML 97 13 0 14 Dec 2021
Real-Time Neural Voice Camouflage Mia Chiquier Chengzhi Mao Carl Vondrick 81 6 0 14 Dec 2021
Triangle Attack: A Query-efficient Decision-based Adversarial Attack Xiaosen Wang Zeliang Zhang Kangheng Tong Dihong Gong Kun He Zhifeng Li Wei Liu AAML 92 62 0 13 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses Chun Pong Lau Jiang-Long Liu Hossein Souri Wei-An Lin Soheil Feizi Ramalingam Chellappa AAML 81 13 0 12 Dec 2021
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare Muchao Ye Junyu Luo Guanjie Zheng Cao Xiao Ting Wang Fenglong Ma AAML 55 3 0 11 Dec 2021
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting Junhua Zou Zhisong Pan Junyang Qiu Xin Liu Ting Rui Wei Li 78 69 0 11 Dec 2021
Cross-Modal Transferable Adversarial Attacks from Images to Videos Zhipeng Wei Jingjing Chen Zuxuan Wu Yu-Gang Jiang AAML 85 42 0 10 Dec 2021
Learning to Learn Transferable Attack Shuman Fang Jie Li Xianming Lin Rongrong Ji AAML 101 21 0 10 Dec 2021
The Fundamental Limits of Interval Arithmetic for Neural Networks M. Mirman Maximilian Baader Martin Vechev 44 6 0 09 Dec 2021
On visual self-supervision and its effect on model robustness Michal Kucer Diane Oyen Garrett Kenyon AAML OOD 48 0 0 08 Dec 2021
DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification Hai T. Phan Anh Totti Nguyen CVBM 108 24 0 07 Dec 2021
Saliency Diversified Deep Ensemble for Robustness to Adversaries Alexander A. Bogun Dimche Kostadinov Damian Borth AAML FedML 55 5 0 07 Dec 2021
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal Yucheng Shi Yahong Han Yu-an Tan Xiaohui Kuang 111 31 0 07 Dec 2021
ML Attack Models: Adversarial Attacks and Data Poisoning Attacks Jing Lin Long Dang Mohamed Rahouti Kaiqi Xiong AAML 80 48 0 06 Dec 2021
Toward a Taxonomy of Trust for Probabilistic Machine Learning Tamara Broderick Andrew Gelman Rachael Meager Anna L. Smith Tian Zheng 79 11 0 05 Dec 2021
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing Bhagyashree Puranik Upamanyu Madhow Ramtin Pedarsani AAML 50 4 0 04 Dec 2021
Catch Me If You Can: Blackbox Adversarial Attacks on Automatic Speech Recognition using Frequency Masking Xiao-lan Wu A. Rajan AAML 90 5 0 03 Dec 2021
Attack-Centric Approach for Evaluating Transferability of Adversarial Samples in Machine Learning Models Tochukwu Idika Ismail Akturk SILM AAML 40 0 0 03 Dec 2021
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? P. Lorenz Dominik Strassel Margret Keuper J. Keuper AAML 73 10 0 02 Dec 2021
Human Imperceptible Attacks and Applications to Improve Fairness Xinru Hua Huanzhong Xu Jose H. Blanchet V. Nguyen AAML 74 3 0 30 Nov 2021
Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance Yizhen Dong Wei Huang Vibhav Bharti V. Cox Alec Banks Sen Wang Xingyu Zhao S. Schewe Xiaowei Huang 72 16 0 30 Nov 2021
DeepAL: Deep Active Learning in Python Kuan-Hao Huang AI4CE 106 17 0 30 Nov 2021
Using a GAN to Generate Adversarial Examples to Facial Image Recognition Andrew Merrigan Alan F. Smeaton PICV GAN 29 5 0 30 Nov 2021
Mitigating Adversarial Attacks by Distributing Different Copies to Different Users Jiyi Zhang Hansheng Fang W. Tann Ke Xu Chengfang Fang E. Chang AAML 79 3 0 30 Nov 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 108 12 0 26 Nov 2021
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks Xiangyu Qi Tinghao Xie Ruizhe Pan Jifeng Zhu Yong-Liang Yang Kai Bu AAML 93 60 0 25 Nov 2021
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers Xiaoyi Dong Jianmin Bao Ting Zhang Dongdong Chen Weiming Zhang Lu Yuan Dong Chen Fang Wen Nenghai Yu Baining Guo ViT 150 246 0 24 Nov 2021
Unity is strength: Improving the Detection of Adversarial Examples with Ensemble Approaches Francesco Craighero Fabrizio Angaroni Fabio Stella Chiara Damiani M. Antoniotti Alex Graudenzi AAML 70 8 0 24 Nov 2021
Thundernna: a white box adversarial attack Linfeng Ye Shayan Mohajer Hamidi AAML 43 5 0 24 Nov 2021
Adversarial Examples on Segmentation Models Can be Easy to Transfer Jindong Gu Hengshuang Zhao Volker Tresp Philip Torr AAML 76 14 0 22 Nov 2021
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes Utku Ozbulak Maura Pintor Arnout Van Messem W. D. Neve AAML 48 5 0 22 Nov 2021
Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks Kaiyuan Liu Xingyu Li Yu-Rui Lai Hong Xie Hang Su Jiacheng Wang Chunxu Guo J. Guan Yi Zhou AAML 89 4 0 21 Nov 2021
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability Yifeng Xiong Jiadong Lin Min Zhang John E. Hopcroft Kun He AAML 126 114 0 21 Nov 2021
Modeling Design and Control Problems Involving Neural Network Surrogates Dominic Yang Prasanna Balaprakash S. Leyffer 42 15 0 20 Nov 2021
Meta Adversarial Perturbations Chia-Hung Yuan Pin-Yu Chen Chia-Mu Yu AAML 87 2 0 19 Nov 2021