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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
A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks Long Zhang Xuechao Sun Yong Li Zhenyu Zhang AAML 53 22 0 01 Jan 2019
Training with the Invisibles: Obfuscating Images to Share Safely for Learning Visual Recognition Models Tae-Hoon Kim Dongmin Kang K. Pulli Jonghyun Choi 79 14 0 01 Jan 2019
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems Husheng Zhou Wei Li Yuankun Zhu Yuqun Zhang Bei Yu Lingming Zhang Cong Liu AAML 85 179 0 27 Dec 2018
Seeing isn't Believing: Practical Adversarial Attack Against Object Detectors Yue Zhao Hong Zhu Ruigang Liang Qintao Shen Shengzhi Zhang Kai Chen AAML 65 15 0 26 Dec 2018
A Data-driven Adversarial Examples Recognition Framework via Adversarial Feature Genome Li Chen Qi Li Jiawei Zhu Jian Peng Haifeng Li AAML 59 3 0 25 Dec 2018
PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning Mehdi Jafarnia-Jahromi Tasmin Chowdhury Hsin-Tai Wu S. Mukherjee AAML 47 4 0 25 Dec 2018
Exploiting the Inherent Limitation of L0 Adversarial Examples F. Zuo Bokai Yang Xiaopeng Li Lannan Luo Qiang Zeng AAML 47 1 0 23 Dec 2018
Towards resilient machine learning for ransomware detection Li-Wei Chen Chih-Yuan Yang Anindya Paul R. Sahita AAML 36 22 0 21 Dec 2018
Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation Tsun-Hsuan Wang Fu-En Wang Juan-Ting Lin Yi-Hsuan Tsai Wei-Chen Chiu Min Sun MDE 87 25 0 20 Dec 2018
Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 64 15 0 19 Dec 2018
A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability Xiaowei Huang Daniel Kroening Wenjie Ruan Marta Kwiatkowska Youcheng Sun Emese Thamo Min Wu Xinping Yi AAML 132 51 0 18 Dec 2018
Designing Adversarially Resilient Classifiers using Resilient Feature Engineering Kevin Eykholt A. Prakash AAML 60 4 0 17 Dec 2018
Trust Region Based Adversarial Attack on Neural Networks Z. Yao A. Gholami Peng Xu Kurt Keutzer Michael W. Mahoney AAML 64 54 0 16 Dec 2018
Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples E. Balda Arash Behboodi R. Mathar AAML 30 5 0 15 Dec 2018
On the Security of Randomized Defenses Against Adversarial Samples K. Sharad G. Marson H. Truong Ghassan O. Karame AAML 47 1 0 11 Dec 2018
Data Fine-tuning S. Chhabra P. Majumdar Mayank Vatsa Richa Singh AAML 108 13 0 10 Dec 2018
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 84 60 0 10 Dec 2018
Learning Transferable Adversarial Examples via Ghost Networks Yingwei Li S. Bai Yuyin Zhou Cihang Xie Zhishuai Zhang Alan Yuille AAML 132 137 0 09 Dec 2018
Feature Denoising for Improving Adversarial Robustness Cihang Xie Yuxin Wu Laurens van der Maaten Alan Yuille Kaiming He 172 916 0 09 Dec 2018
Detecting Adversarial Examples in Convolutional Neural Networks Stefanos Pertigkiozoglou Petros Maragos GAN AAML 75 16 0 08 Dec 2018
Fooling Network Interpretation in Image Classification Akshayvarun Subramanya Vipin Pillai Hamed Pirsiavash AAML FAtt 49 7 0 06 Dec 2018
Prior Networks for Detection of Adversarial Attacks A. Malinin Mark Gales AAML 69 5 0 06 Dec 2018
Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack Jingyang Zhang Hsin-Pai Cheng Chunpeng Wu Hai Helen Li Yiran Chen AAML 41 0 0 06 Dec 2018
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications Abdullah Hamdi Matthias Muller Guohao Li AAML 84 26 0 05 Dec 2018
Continuous User Authentication by Contactless Wireless Sensing Fei Wang Zhenjiang Li Jinsong Han 43 19 0 04 Dec 2018
Adversarial Example Decomposition Horace He Aaron Lou Qingxuan Jiang Isay Katsman Serge J. Belongie Ser-Nam Lim AAML 28 0 0 04 Dec 2018
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 311 285 0 03 Dec 2018
Universal Perturbation Attack Against Image Retrieval Jie Li Rongrong Ji Hong Liu Xiaopeng Hong Yue Gao Q. Tian AAML 98 100 0 03 Dec 2018
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 240 294 0 02 Dec 2018
FineFool: Fine Object Contour Attack via Attention Jinyin Chen Haibin Zheng Hui Xiong Mengmeng Su AAML 60 3 0 01 Dec 2018
Effects of Loss Functions And Target Representations on Adversarial Robustness Sean Saito S. Roy AAML 72 7 0 01 Dec 2018
Adversarial Defense by Stratified Convolutional Sparse Coding Bo Sun Nian-hsuan Tsai Fangchen Liu Ronald Yu Hao Su AAML 83 76 0 30 Nov 2018
An Adversarial Approach for Explainable AI in Intrusion Detection Systems Daniel L. Marino Chathurika S. Wickramasinghe Milos Manic AAML 53 110 0 28 Nov 2018
A randomized gradient-free attack on ReLU networks Francesco Croce Matthias Hein AAML 74 21 0 28 Nov 2018
Image Reconstruction with Predictive Filter Flow Shu Kong Charless C. Fowlkes SupR 117 13 0 28 Nov 2018
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks Jinghui Chen Dongruo Zhou Jinfeng Yi Quanquan Gu AAML 93 68 0 27 Nov 2018
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies Bao Wang Binjie Yuan Zuoqiang Shi Stanley J. Osher AAML OOD 78 15 0 26 Nov 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks Jianyu Wang Haichao Zhang OOD AAML 87 119 0 26 Nov 2018
Noisy Computations during Inference: Harmful or Helpful? Minghai Qin D. Vučinić AAML 31 5 0 26 Nov 2018
Attention, Please! Adversarial Defense via Activation Rectification and Preservation Shangxi Wu Jitao Sang Kaiyuan Xu Jiaming Zhang Jian Yu AAML 52 7 0 24 Nov 2018
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses Jérôme Rony L. G. Hafemann Luiz Eduardo Soares de Oliveira Ismail Ben Ayed R. Sabourin Eric Granger AAML 78 299 0 23 Nov 2018
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack Adnan Siraj Rakin Zhezhi He Deliang Fan AAML 67 292 0 22 Nov 2018
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces Ziv Katzir Yuval Elovici AAML 60 26 0 22 Nov 2018
Task-generalizable Adversarial Attack based on Perceptual Metric Muzammal Naseer Salman H. Khan Shafin Rahman Fatih Porikli AAML 73 40 0 22 Nov 2018
How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples Utku Ozbulak W. D. Neve Arnout Van Messem AAML 39 7 0 21 Nov 2018
MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura T. Bremer GAN 53 2 0 20 Nov 2018
Intermediate Level Adversarial Attack for Enhanced Transferability Qian Huang Zeqi Gu Isay Katsman Horace He Pian Pawakapan Zhiqiu Lin Serge J. Belongie Ser-Nam Lim AAML SILM 54 4 0 20 Nov 2018
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition Jenn-Bing Ong W. Ng C.-C. Jay Kuo AAML 53 0 0 20 Nov 2018
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding Yao Li Martin Renqiang Min Wenchao Yu Cho-Jui Hsieh T. C. Lee E. Kruus OT 60 7 0 19 Nov 2018
The Taboo Trap: Behavioural Detection of Adversarial Samples Ilia Shumailov Yiren Zhao Robert D. Mullins Ross J. Anderson AAML 59 14 0 18 Nov 2018