v1v2v3 (latest)

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"

50 / 2,298 papers shown

Title
Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems Wei Huang Yifan Zhou Alec Banks Youcheng Sun Jie Meng James Sharp Xiaowei Huang 52 3 0 16 Oct 2020
DPAttack: Diffused Patch Attacks against Universal Object Detection Shudeng Wu Tao Dai Shutao Xia AAML 86 26 0 16 Oct 2020
Exploiting Vulnerabilities of Deep Learning-based Energy Theft Detection in AMI through Adversarial Attacks Jiangnan Li Yingyuan Yang Jinyuan Stella Sun AAML 81 8 0 16 Oct 2020
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations Yanghao Zhang Wenjie Ruan Fu Lee Wang Xiaowei Huang AAML 87 24 0 15 Oct 2020
Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing Zhen Xiang David J. Miller G. Kesidis 81 23 0 15 Oct 2020
An Evasion Attack against Stacked Capsule Autoencoder Jiazhu Dai Siwei Xiong AAML 34 1 0 14 Oct 2020
Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability Yuxian Meng Chun Fan Zijun Sun Eduard H. Hovy Leilei Gan Jiwei Li FAtt 78 10 0 14 Oct 2020
GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing a Black-box Adversarial Attack Hui Liu Bo Zhao Minzhi Ji Peng Liu AAML 42 6 0 14 Oct 2020
Scenic: A Language for Scenario Specification and Data Generation Daniel J. Fremont Edward J. Kim T. Dreossi Shromona Ghosh Xiangyu Yue Alberto L. Sangiovanni-Vincentelli Sanjit A. Seshia 82 99 0 13 Oct 2020
Learning to Attack with Fewer Pixels: A Probabilistic Post-hoc Framework for Refining Arbitrary Dense Adversarial Attacks He Zhao Thanh-Tuan Nguyen Trung Le Paul Montague O. Vel Tamas Abraham Dinh Q. Phung AAML 52 2 0 13 Oct 2020
IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration Ziyi Wu Yueqi Duan He Wang Qingnan Fan Leonidas Guibas 3DPC 89 61 0 11 Oct 2020
Learning Task-aware Robust Deep Learning Systems Keji Han Yun Li Xianzhong Long Yao Ge OOD 42 0 0 11 Oct 2020
$Improve the Robustness and Accuracy of Deep Neural Network with $L_{2,\infty}$ Normalization$ Improve the Robustness and Accuracy of Deep Neural Network with $L_{2,\infty}$ Normalization Lijia Yu Xiao-Shan Gao 20 0 0 10 Oct 2020
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition Xinghao Yang Weifeng Liu Shengli Zhang Wei Liu Dacheng Tao AAML 36 29 0 09 Oct 2020
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects Amir-Hossein Karimi Gilles Barthe Bernhard Schölkopf Isabel Valera FaML 70 172 0 08 Oct 2020
Improve Adversarial Robustness via Weight Penalization on Classification Layer Cong Xu Dan Li Min Yang AAML 24 4 0 08 Oct 2020
CD-UAP: Class Discriminative Universal Adversarial Perturbation Chaoning Zhang Philipp Benz Tooba Imtiaz In So Kweon AAML 63 61 0 07 Oct 2020
Double Targeted Universal Adversarial Perturbations Philipp Benz Chaoning Zhang Tooba Imtiaz In So Kweon AAML 95 48 0 07 Oct 2020
Adversarial Patch Attacks on Monocular Depth Estimation Networks Koichiro Yamanaka R. Matsumoto Keita Takahashi T. Fujii GAN AAML MDE 57 37 0 06 Oct 2020
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective Wei Ping Shuohang Wang Yu Cheng Zhe Gan R. Jia Yue Liu Jingjing Liu AAML 221 117 0 05 Oct 2020
A Study for Universal Adversarial Attacks on Texture Recognition Yingpeng Deng Lina Karam AAML 42 2 0 04 Oct 2020
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples Zhao Meng Roger Wattenhofer GAN AAML 69 32 0 03 Oct 2020
Do Wider Neural Networks Really Help Adversarial Robustness? Boxi Wu Jinghui Chen Deng Cai Xiaofei He Quanquan Gu AAML 110 95 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
Block-wise Image Transformation with Secret Key for Adversarially Robust Defense Maungmaung Aprilpyone Hitoshi Kiya 76 57 0 02 Oct 2020
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence Chang Liao Yao Cheng Chengfang Fang Jie Shi 31 1 0 28 Sep 2020
Torchattacks: A PyTorch Repository for Adversarial Attacks Hoki Kim 77 208 0 24 Sep 2020
Detection of Iterative Adversarial Attacks via Counter Attack Matthias Rottmann Kira Maag Mathis Peyron N. Krejić Hanno Gottschalk AAML 47 4 0 23 Sep 2020
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations A. Wong Mukund Mundhra Stefano Soatto AAML 73 27 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
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
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
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning Yao Zhou Jun Wu Haixun Wang Jingrui He AAML FedML 104 28 0 18 Sep 2020
Encoding Robustness to Image Style via Adversarial Feature Perturbations Manli Shu Zuxuan Wu Micah Goldblum Tom Goldstein AAML OOD 75 19 0 18 Sep 2020
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness Youwei Liang Dong Huang 48 11 0 17 Sep 2020
Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks Thomas Gittings Steve A. Schneider John Collomosse AAML 65 13 0 17 Sep 2020
Online Alternate Generator against Adversarial Attacks Haofeng Li Yirui Zeng Guanbin Li Liang Lin Yizhou Yu AAML 69 6 0 17 Sep 2020
Domain Adaptation for Outdoor Robot Traversability Estimation from RGB data with Safety-Preserving Loss S. Palazzo D. Guastella L. Cantelli Paolo Spadaro Francesco Rundo Giovanni Muscato D. Giordano C. Spampinato 64 29 0 16 Sep 2020
Decision-based Universal Adversarial Attack Jing Wu Mingyi Zhou Shuaicheng Liu Yipeng Liu Ce Zhu AAML 80 13 0 15 Sep 2020
Input Hessian Regularization of Neural Networks Waleed Mustafa Robert A. Vandermeulen Marius Kloft AAML 54 12 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
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 102 64 0 11 Sep 2020
Achieving Adversarial Robustness via Sparsity Shu-Fan Wang Ningyi Liao Liyao Xiang Nanyang Ye Quanshi Zhang AAML 58 16 0 11 Sep 2020
Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models A. Tripathi Ashish Mishra AAML MedIm 42 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 136 162 0 08 Sep 2020
Adversarial Attack on Large Scale Graph Jintang Li Tao Xie Liang Chen Fenfang Xie Xiangnan He Zibin Zheng AAML 87 67 0 08 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
Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors Cezara Benegui Radu Tudor Ionescu AAML 28 9 0 02 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 93 49 0 02 Sep 2020