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DeepFool: a simple and accurate method to fool deep neural networks

14 November 2015

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "DeepFool: a simple and accurate method to fool deep neural networks"

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Title
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart Tianyu Pang Huishuai Zhang Di He Yinpeng Dong Hang Su Wei Chen Jun Zhu Tie-Yan Liu AAML 45 18 0 31 May 2021
$Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models$ Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models Ameya D. Patil Michael Tuttle Alex Schwing Naresh R Shanbhag AAML 56 0 0 31 May 2021
Generating Adversarial Examples with Graph Neural Networks Florian Jaeckle M. P. Kumar GAN AAML 53 21 0 30 May 2021
Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks Ramy Maarouf Danish Sattar Ashraf Matrawy AAML 38 9 0 30 May 2021
Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations Mingfu Xue Yinghao Wu Zhiyu Wu Yushu Zhang Jian Wang Weiqiang Liu AAML 54 12 0 29 May 2021
Practical Convex Formulation of Robust One-hidden-layer Neural Network Training Yatong Bai Tanmay Gautam Yujie Gai Somayeh Sojoudi AAML 93 3 0 25 May 2021
Feature Space Targeted Attacks by Statistic Alignment Lianli Gao Yaya Cheng Qilong Zhang Xing Xu Jingkuan Song AAML 75 33 0 25 May 2021
OFEI: A Semi-black-box Android Adversarial Sample Attack Framework Against DLaaS Guangquan Xu Guohua Xin Litao Jiao Jian Liu Shaoying Liu Meiqi Feng Xi Zheng AAML FedML 61 19 0 25 May 2021
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation Jinyu Yang Chunyuan Li Weizhi An Hehuan Ma Yuzhi Guo Yu Rong P. Zhao Junzhou Huang AAML 84 31 0 23 May 2021
Adversarial Attacks and Mitigation for Anomaly Detectors of Cyber-Physical Systems Yifan Jia Jingyi Wang Christopher M. Poskitt Sudipta Chattopadhyay Jun Sun Yuqi Chen AAML 75 29 0 22 May 2021
An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks Cong Xu Xiang Li Min Yang AAML 58 15 0 19 May 2021
Adversarial Examples Detection with Bayesian Neural Network Yao Li Tongyi Tang Cho-Jui Hsieh T. C. Lee GAN AAML 60 3 0 18 May 2021
Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning Franziska Boenisch Philip Sperl Konstantin Böttinger AAML 50 13 0 17 May 2021
Vision Transformers are Robust Learners Sayak Paul Pin-Yu Chen ViT 77 312 0 17 May 2021
Undistillable: Making A Nasty Teacher That CANNOT teach students Haoyu Ma Tianlong Chen Ting-Kuei Hu Chenyu You Xiaohui Xie Zhangyang Wang 86 44 0 16 May 2021
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks Jinyin Chen Ruoxi Chen Haibin Zheng Zhaoyan Ming Wenrong Jiang Chen Cui AAML 42 11 0 14 May 2021
Adversarial examples attack based on random warm restart mechanism and improved Nesterov momentum Tian-zhou Li AAML 35 1 0 10 May 2021
Certified Robustness to Text Adversarial Attacks by Randomized [MASK] Jiehang Zeng Xiaoqing Zheng Jianhan Xu Linyang Li Liping Yuan Xuanjing Huang AAML 81 70 0 08 May 2021
Self-Supervised Adversarial Example Detection by Disentangled Representation Zhaoxi Zhang L. Zhang Xufei Zheng Jinyu Tian Jiantao Zhou AAML DRL 65 9 0 08 May 2021
Understanding Catastrophic Overfitting in Adversarial Training Peilin Kang Seyed-Mohsen Moosavi-Dezfooli AAML 63 16 0 06 May 2021
Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model Ruoxi Qin Linyuan Wang Xing-yuan Chen Xuehui Du Bin Yan AAML 61 5 0 06 May 2021
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks Faiq Khalid Muhammad Abdullah Hanif Mohamed Bennai AAML SILM 76 9 0 05 May 2021
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning Hanchi Ren Jingjing Deng Xianghua Xie SILM AAML FedML 109 103 0 02 May 2021
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability Luke Chang Katharina Dost Kaiqi Zhao Ambra Demontis Fabio Roli Gillian Dobbie Jörg Simon Wicker AAML 131 2 0 02 May 2021
Who's Afraid of Adversarial Transferability? Ziv Katzir Yuval Elovici SILM AAML 88 9 0 02 May 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison Ahmed Aldahdooh W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 233 128 0 01 May 2021
Black-box adversarial attacks using Evolution Strategies Hao Qiu Leonardo Lucio Custode Giovanni Iacca AAML 78 18 0 30 Apr 2021
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection Hao Chen Chen Li Ge Wang Xirong Li M. Rahaman ... Yixin Li Wanli Liu Changhao Sun Shiliang Ai M. Grzegorzek ViT MedIm 102 192 0 29 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 126 58 0 29 Apr 2021
3D Adversarial Attacks Beyond Point Cloud Jinlai Zhang Lyujie Chen Binbin Liu Bojun Ouyang Qizhi Xie Jihong Zhu Weiming Li Yanmei Meng 3DPC 73 41 0 25 Apr 2021
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions Jing Wu Mingyi Zhou Ce Zhu Yipeng Liu Mehrtash Harandi Li Li AAML 107 11 0 22 Apr 2021
Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting Qiming Wu Zhikang Zou Pan Zhou Xiaoqing Ye Binghui Wang Ang Li AAML 129 4 0 22 Apr 2021
Dual Head Adversarial Training Yujing Jiang Xingjun Ma S. Erfani James Bailey AAML 52 4 0 21 Apr 2021
Mixture of Robust Experts (MoRE):A Robust Denoising Method towards multiple perturbations Kaidi Xu Chenan Wang Hao-Ran Cheng B. Kailkhura Xue Lin R. Goldhahn 29 3 0 21 Apr 2021
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis Yijun Yang Ruiyuan Gao Yu Li Qiuxia Lai Qiang Xu AAML 37 1 0 20 Apr 2021
Staircase Sign Method for Boosting Adversarial Attacks Qilong Zhang Xiaosu Zhu Jingkuan Song Lianli Gao Heng Tao Shen AAML 88 13 0 20 Apr 2021
Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models Lyuyi Zhu Kairui Feng Ziyuan Pu Wei-Ying Ma AAML DiffM 51 16 0 19 Apr 2021
LAFEAT: Piercing Through Adversarial Defenses with Latent Features Yunrui Yu Xitong Gao Chengzhong Xu AAML FedML 91 46 0 19 Apr 2021
Direction-Aggregated Attack for Transferable Adversarial Examples Tianjin Huang Vlado Menkovski Yulong Pei Yuhao Wang Mykola Pechenizkiy AAML 78 15 0 19 Apr 2021
Fashion-Guided Adversarial Attack on Person Segmentation Marc Treu Trung-Nghia Le H. Nguyen Junichi Yamagishi Isao Echizen AAML 54 13 0 17 Apr 2021
Adversarial Sticker: A Stealthy Attack Method in the Physical World Xingxing Wei Yingjie Guo Jie Yu AAML 85 124 0 14 Apr 2021
Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack Luca Pajola Mauro Conti 48 28 0 13 Apr 2021
A Backdoor Attack against 3D Point Cloud Classifiers Zhen Xiang David J. Miller Siheng Chen Xi Li G. Kesidis 3DPC AAML 84 77 0 12 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 105 67 0 09 Apr 2021
Universal Adversarial Training with Class-Wise Perturbations Philipp Benz Chaoning Zhang Adil Karjauv In So Kweon AAML 58 27 0 07 Apr 2021
The art of defense: letting networks fool the attacker Jinlai Zhang Lyvjie Chen Binbin Liu Bojun Ouyang Jihong Zhu Minchi Kuang Houqing Wang Yanmei Meng AAML 3DPC 78 16 0 07 Apr 2021
White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks Meghna P. Ayyar J. Benois-Pineau A. Zemmari FAtt 34 17 0 06 Apr 2021
A Review of Formal Methods applied to Machine Learning Caterina Urban Antoine Miné 95 57 0 06 Apr 2021
Unified Detection of Digital and Physical Face Attacks Debayan Deb Xiaoming Liu Anil K. Jain CVBM AAML 87 34 0 05 Apr 2021
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification S. Silva Arun Das I. Scarff Peyman Najafirad AAML 52 1 0 05 Apr 2021