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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
Noise as a Resource for Learning in Knowledge Distillation Elahe Arani F. Sarfraz Bahram Zonooz 57 6 0 11 Oct 2019
Universal Adversarial Perturbation for Text Classification Hang Gao Tim Oates AAML 108 15 0 10 Oct 2019
Learning deep forest with multi-scale Local Binary Pattern features for face anti-spoofing Rizhao Cai Changsheng Chen AAML CVBM 54 12 0 09 Oct 2019
Adversarial Learning of Deepfakes in Accounting Marco Schreyer Timur Sattarov Bernd Reimer Damian Borth AAML 63 26 0 09 Oct 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations Ali Dabouei Sobhan Soleymani Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi AAML 144 19 0 08 Oct 2019
Real-time processing of high-resolution video and 3D model-based tracking for remote towers O. Barrowclough S. Briseid G. Muntingh Torbjørn Viksand 32 4 0 08 Oct 2019
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies Laurent Meunier Cen Chen Li Wang MLAU AAML 133 40 0 05 Oct 2019
Analyzing and Improving Neural Networks by Generating Semantic Counterexamples through Differentiable Rendering Lakshya Jain Varun Chandrasekaran Uyeong Jang Wilson Wu Andrew Lee Andy Yan Steven Chen S. Jha Sanjit A. Seshia AAML 72 11 0 02 Oct 2019
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack Yang Zhang Shiyu Chang Mo Yu Kaizhi Qian AAML 29 2 0 01 Oct 2019
Attacking CNN-based anti-spoofing face authentication in the physical domain Bowen Zhang B. Tondi Mauro Barni CVBM AAML 51 5 0 01 Oct 2019
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples Wenqi Wei Ling Liu Margaret Loper Ka-Ho Chow Emre Gursoy Stacey Truex Yanzhao Wu AAML 52 12 0 01 Oct 2019
Techniques for Adversarial Examples Threatening the Safety of Artificial Intelligence Based Systems Utku Kose SILM AAML 29 2 0 29 Sep 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML MQ 98 18 0 27 Sep 2019
Lower Bounds on Adversarial Robustness from Optimal Transport A. Bhagoji Daniel Cullina Prateek Mittal OOD OT AAML 72 94 0 26 Sep 2019
A Closer Look at Domain Shift for Deep Learning in Histopathology Karin Stacke Gabriel Eilertsen Jonas Unger Claes Lundström OOD 66 62 0 25 Sep 2019
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks Tianyu Pang Kun Xu Jun Zhu AAML 91 105 0 25 Sep 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 110 398 0 23 Sep 2019
FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments Alesia Chernikova Alina Oprea AAML 121 40 0 23 Sep 2019
HAWKEYE: Adversarial Example Detector for Deep Neural Networks Jinkyu Koo Michael A. Roth S. Bagchi AAML 232 3 0 22 Sep 2019
Adversarial Learning with Margin-based Triplet Embedding Regularization Yaoyao Zhong Weihong Deng AAML 91 50 0 20 Sep 2019
Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation Jihyeun Yoon Kyungyul Kim Jongseong Jang AAML 48 4 0 19 Sep 2019
Training Robust Deep Neural Networks via Adversarial Noise Propagation Aishan Liu Xianglong Liu Chongzhi Zhang Hang Yu Qiang Liu Dacheng Tao AAML 86 116 0 19 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 79 680 0 17 Sep 2019
Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model Prashanth Vijayaraghavan D. Roy AAML 49 36 0 17 Sep 2019
They Might NOT Be Giants: Crafting Black-Box Adversarial Examples with Fewer Queries Using Particle Swarm Optimization Rayan Mosli M. Wright Bo Yuan Yin Pan AAML 48 16 0 16 Sep 2019
Towards Quality Assurance of Software Product Lines with Adversarial Configurations Paul Temple M. Acher Gilles Perrouin Battista Biggio J. Jézéquel Fabio Roli AAML 41 11 0 16 Sep 2019
Interpreting and Improving Adversarial Robustness of Deep Neural Networks with Neuron Sensitivity Chongzhi Zhang Aishan Liu Xianglong Liu Yitao Xu Hang Yu Yuqing Ma Tianlin Li AAML 134 19 0 16 Sep 2019
Adversarial Attack on Skeleton-based Human Action Recognition Jian Liu Naveed Akhtar Ajmal Mian AAML 67 68 0 14 Sep 2019
White-Box Adversarial Defense via Self-Supervised Data Estimation Zudi Lin Hanspeter Pfister Ziming Zhang AAML 23 2 0 13 Sep 2019
Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix Yaxin Peng Chaomin Shen Guixu Zhang Jinsong Fan AAML 44 13 0 13 Sep 2019
Towards Model-Agnostic Adversarial Defenses using Adversarially Trained Autoencoders Pratik Vaishnavi Kevin Eykholt A. Prakash Amir Rahmati AAML 46 2 0 12 Sep 2019
An Empirical Investigation of Randomized Defenses against Adversarial Attacks Yannik Potdevin Dirk Nowotka Vijay Ganesh AAML 49 4 0 12 Sep 2019
Inspecting adversarial examples using the Fisher information Jörg Martin Clemens Elster AAML 50 15 0 12 Sep 2019
Sparse and Imperceivable Adversarial Attacks Francesco Croce Matthias Hein AAML 110 199 0 11 Sep 2019
PDA: Progressive Data Augmentation for General Robustness of Deep Neural Networks Hang Yu Aishan Liu Xianglong Liu Gen Li Ping Luo R. Cheng Jichen Yang Chongzhi Zhang AAML 77 10 0 11 Sep 2019
Localized Adversarial Training for Increased Accuracy and Robustness in Image Classification Eitan Rothberg Tingting Chen Luo Jie Hao Ji AAML 23 0 0 10 Sep 2019
Effectiveness of Adversarial Examples and Defenses for Malware Classification Robert Podschwadt Hassan Takabi AAML 52 11 0 10 Sep 2019
FDA: Feature Disruptive Attack Aditya Ganeshan S. VivekB. R. Venkatesh Babu AAML 120 105 0 10 Sep 2019
Universal Physical Camouflage Attacks on Object Detectors Lifeng Huang Chengying Gao Yuyin Zhou Cihang Xie Alan Yuille C. Zou Ning Liu AAML 182 169 0 10 Sep 2019
Adversarial Robustness Against the Union of Multiple Perturbation Models Pratyush Maini Eric Wong J. Zico Kolter OOD AAML 65 151 0 09 Sep 2019
STA: Adversarial Attacks on Siamese Trackers Xugang Wu Xiaoping Wang Xu Zhou Songlei Jian GAN AAML 41 6 0 08 Sep 2019
On the Need for Topology-Aware Generative Models for Manifold-Based Defenses Uyeong Jang Susmit Jha S. Jha AAML 83 13 0 07 Sep 2019
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information Yiren Zhao Ilia Shumailov Han Cui Xitong Gao Robert D. Mullins Ross J. Anderson AAML 82 29 0 06 Sep 2019
Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ? Alfred Laugros A. Caplier Matthieu Ospici AAML 56 40 0 04 Sep 2019
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation Po-Sen Huang Robert Stanforth Johannes Welbl Chris Dyer Dani Yogatama Sven Gowal Krishnamurthy Dvijotham Pushmeet Kohli AAML 112 166 0 03 Sep 2019
Metric Learning for Adversarial Robustness Chengzhi Mao Ziyuan Zhong Junfeng Yang Carl Vondrick Baishakhi Ray OOD 96 188 0 03 Sep 2019
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness Ling Liu Wenqi Wei Ka-Ho Chow Margaret Loper Emre Gursoy Stacey Truex Yanzhao Wu UQCV AAML FedML 77 60 0 29 Aug 2019
A Statistical Defense Approach for Detecting Adversarial Examples Alessandro Cennamo Ido Freeman A. Kummert AAML 34 4 0 26 Aug 2019
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Peng Kuang Siyan Zheng Mengkai Song Qian Wang Alireza Rahimpour Hairong Qi AAML OOD 76 59 0 25 Aug 2019
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Giorgos Tolias Filip Radenovic Ondřej Chum AAML 77 71 0 24 Aug 2019