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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,769 papers shown

Title
Multi-Step Adversarial Perturbations on Recommender Systems Embeddings Vito Walter Anelli Alejandro Bellogín Yashar Deldjoo Tommaso Di Noia Felice Antonio Merra AAML 25 5 0 03 Oct 2020
Efficient Robust Training via Backward Smoothing Jinghui Chen Yu Cheng Zhe Gan Quanquan Gu Jingjing Liu AAML 83 40 0 03 Oct 2020
An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders Vito Walter Anelli Tommaso Di Noia Daniele Malitesta Felice Antonio Merra AAML 34 2 0 02 Oct 2020
Block-wise Image Transformation with Secret Key for Adversarially Robust Defense Maungmaung Aprilpyone Hitoshi Kiya 76 57 0 02 Oct 2020
Deep learning for time series classification Hassan Ismail Fawaz BDL AI4TS 79 38 0 01 Oct 2020
Bag of Tricks for Adversarial Training Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu AAML 90 270 0 01 Oct 2020
Depth Estimation from Monocular Images and Sparse Radar Data Juan Lin Dengxin Dai Luc Van Gool MDE 74 77 0 30 Sep 2020
Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples Jaehoon Koo Diego Klabjan J. Utke 57 2 0 29 Sep 2020
Adversarial Attacks Against Deep Learning Systems for ICD-9 Code Assignment Sharan Raja Rudraksh Tuwani AAML 46 3 0 29 Sep 2020
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence Chang Liao Yao Cheng Chengfang Fang Jie Shi 40 1 0 28 Sep 2020
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection Liang Gou Lincan Zou Nanxiang Li M. Hofmann A. Shekar A. Wendt Liu Ren 131 62 0 27 Sep 2020
Beneficial Perturbations Network for Defending Adversarial Examples Shixian Wen A. Rios Laurent Itti AAML 30 1 0 27 Sep 2020
Adversarial Examples in Deep Learning for Multivariate Time Series Regression Gautam Raj Mode K. A. Hoque AAML AI4TS 72 58 0 24 Sep 2020
Torchattacks: A PyTorch Repository for Adversarial Attacks Hoki Kim 77 208 0 24 Sep 2020
Adversarial Attack Based Countermeasures against Deep Learning Side-Channel Attacks Ruizhe Gu Ping Wang Mengce Zheng Honggang Hu Nenghai Yu AAML 27 4 0 22 Sep 2020
Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version) Gautam Raj Mode K. A. Hoque AAML 66 19 0 21 Sep 2020
NeuroDiff: Scalable Differential Verification of Neural Networks using Fine-Grained Approximation Brandon Paulsen Jingbo Wang Jiawei Wang Chao Wang 86 36 0 21 Sep 2020
Feature Distillation With Guided Adversarial Contrastive Learning Tao Bai Jinnan Chen Jun Zhao Bihan Wen Xudong Jiang Alex C. Kot AAML 65 9 0 21 Sep 2020
Generating Adversarial yet Inconspicuous Patches with a Single Image Jinqi Luo Tao Bai Jun Zhao AAML 40 6 0 21 Sep 2020
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness Tuan-Anh Bui Trung Le He Zhao Paul Montague O. deVel Tamas Abraham Dinh Q. Phung AAML FedML 73 11 0 21 Sep 2020
Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection Ruijun Gao Qing Guo Felix Juefei Xu Hongkai Yu Huazhu Fu Wei Feng Yang Liu Song Wang AAML 95 15 0 19 Sep 2020
Adversarial Exposure Attack on Diabetic Retinopathy Imagery Yupeng Cheng Felix Juefei Xu Qing Guo Huazhu Fu Xiaofei Xie Shang-Wei Lin Weisi Lin Yang Liu AAML MedIm 73 0 0 19 Sep 2020
EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks Yaguan Qian Qiqi Shao Jiamin Wang Xiangyuan Lin Yankai Guo Zhaoquan Gu Bin Wang Chunming Wu AAML 133 24 0 19 Sep 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 122 28 0 18 Sep 2020
An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder Liang Liang Linhai Ma Linchen Qian Jiasong Chen OODD 35 2 0 17 Sep 2020
Decision-based Universal Adversarial Attack Jing Wu Mingyi Zhou Shuaicheng Liu Yipeng Liu Ce Zhu AAML 80 13 0 15 Sep 2020
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems Haoliang Li Yufei Wang Xiaofei Xie Yang Liu Shiqi Wang Renjie Wan Lap-Pui Chau City University of Hong Kong AAML 65 34 0 15 Sep 2020
Robust Deep Learning Ensemble against Deception Wenqi Wei Ling Liu AAML 71 29 0 14 Sep 2020
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses Ambar Pal René Vidal AAML 106 27 0 14 Sep 2020
Risk Bounds for Robust Deep Learning Johannes Lederer OOD 59 16 0 14 Sep 2020
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 104 65 0 11 Sep 2020
Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models A. Tripathi Ashish Mishra AAML MedIm 45 10 0 08 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 136 164 0 08 Sep 2020
Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks Shankar A. Deka D. Stipanović Claire Tomlin AAML 49 7 0 07 Sep 2020
Detection Defense Against Adversarial Attacks with Saliency Map Dengpan Ye Chuanxi Chen Changrui Liu Hao Wang Shunzhi Jiang AAML 57 28 0 06 Sep 2020
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks Nilaksh Das Haekyu Park Zijie J. Wang Fred Hohman Robert Firstman Emily Rogers Duen Horng Chau AAML 60 27 0 05 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 100 49 0 02 Sep 2020
Quaternion-Based Self-Attentive Long Short-Term User Preference Encoding for Recommendation T. Tran Di You Kyumin Lee 117 13 0 31 Aug 2020
An Integrated Approach to Produce Robust Models with High Efficiency Zhijian Li Bao Wang Jack Xin MQ AAML 35 3 0 31 Aug 2020
Adversarially Robust Learning via Entropic Regularization Gauri Jagatap Ameya Joshi A. B. Chowdhury S. Garg Chinmay Hegde OOD 128 11 0 27 Aug 2020
Measurement-driven Security Analysis of Imperceptible Impersonation Attacks Shasha Li K. Khalil Yikang Shen Chengyu Song S. Krishnamurthy Amit K. Roy-Chowdhury A. Swami AAML 36 2 0 26 Aug 2020
Adversarially Training for Audio Classifiers Raymel Alfonso Sallo Mohammad Esmaeilpour P. Cardinal AAML 47 8 0 26 Aug 2020
An End-to-End Attack on Text-based CAPTCHAs Based on Cycle-Consistent Generative Adversarial Network Chunhui Li Xingshu Chen Haizhou Wang Yu Zhang Peiming Wang AAML 34 28 0 26 Aug 2020
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses Fu-Huei Lin Rohit Mittapalli Prithvijit Chattopadhyay Daniel Bolya Judy Hoffman AAML 63 2 0 25 Aug 2020
An Adversarial Attack Defending System for Securing In-Vehicle Networks Yi Li Jing Lin Kaiqi Xiong AAML 101 16 0 25 Aug 2020
Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems Sandhya Saisubramanian S. Zilberstein Ece Kamar 99 22 0 24 Aug 2020
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling T. Lew Marco Pavone AAML 106 53 0 24 Aug 2020
Delving Deeper into Anti-aliasing in ConvNets Xueyan Zou Fanyi Xiao Zhiding Yu Yong Jae Lee SupR 72 107 0 21 Aug 2020
A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples Julia Lust Alexandru Paul Condurache UQCV AAML AI4CE 31 8 0 21 Aug 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training Alfred Laugros A. Caplier Matthieu Ospici AAML 119 19 0 19 Aug 2020