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
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples Nils Lukas Yuxuan Zhang Florian Kerschbaum MLAU FedML AAML 112 146 0 02 Dec 2019
Fastened CROWN: Tightened Neural Network Robustness Certificates Zhaoyang Lyu Ching-Yun Ko Zhifeng Kong Ngai Wong Dahua Lin Luca Daniel 149 67 0 02 Dec 2019
A Method for Computing Class-wise Universal Adversarial Perturbations Tejus Gupta Abhishek Sinha Nupur Kumari M. Singh Balaji Krishnamurthy AAML 38 10 0 01 Dec 2019
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds Abdullah Hamdi Sara Rojas Ali K. Thabet Guohao Li AAML 3DPC 122 131 0 01 Dec 2019
Attributional Robustness Training using Input-Gradient Spatial Alignment M. Singh Nupur Kumari Puneet Mangla Abhishek Sinha V. Balasubramanian Balaji Krishnamurthy OOD 98 10 0 29 Nov 2019
Indirect Local Attacks for Context-aware Semantic Segmentation Networks Krishna Kanth Nakka Mathieu Salzmann SSeg AAML 64 31 0 29 Nov 2019
Towards Security Threats of Deep Learning Systems: A Survey Yingzhe He Guozhu Meng Kai Chen Xingbo Hu Jinwen He AAML ELM 56 14 0 28 Nov 2019
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey Vanessa Buhrmester David Münch Michael Arens MLAU FaML XAI AAML 117 369 0 27 Nov 2019
Data Augmentation Using Adversarial Training for Construction-Equipment Classification Francis Baek Somin Park Hyoungkwan Kim GAN 26 5 0 27 Nov 2019
An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense Chao Tang Yifei Fan A. Yezzi AAML 30 2 0 26 Nov 2019
Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting Weizhe Liu Mathieu Salzmann Pascal Fua AAML 75 9 0 26 Nov 2019
Playing it Safe: Adversarial Robustness with an Abstain Option Cassidy Laidlaw Soheil Feizi AAML 75 20 0 25 Nov 2019
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples Chang Xiao Changxi Zheng AAML 74 19 0 25 Nov 2019
ColorFool: Semantic Adversarial Colorization Ali Shahin Shamsabadi Ricardo Sánchez-Matilla Andrea Cavallaro AAML 105 122 0 25 Nov 2019
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks Minghao Guo Yuzhe Yang Rui Xu Ziwei Liu Dahua Lin AAML OOD 120 159 0 25 Nov 2019
DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning Samet Demir Hasan Ferit Eniser A. Sen AAML 52 29 0 24 Nov 2019
Robust Assessment of Real-World Adversarial Examples Brett A. Jefferson Carlos Ortiz Marrero AAML 29 4 0 24 Nov 2019
Universal adversarial examples in speech command classification Jon Vadillo Roberto Santana AAML 91 30 0 22 Nov 2019
Attack Agnostic Statistical Method for Adversarial Detection Sambuddha Saha Aashish Kumar Pratyush Sahay George Jose S. Kruthiventi Harikrishna Muralidhara AAML 33 1 0 22 Nov 2019
Heuristic Black-box Adversarial Attacks on Video Recognition Models Zhipeng Wei Jingjing Chen Xingxing Wei Linxi Jiang Tat-Seng Chua Fengfeng Zhou Yueping Jiang AAML 81 70 0 21 Nov 2019
Fine-grained Synthesis of Unrestricted Adversarial Examples Omid Poursaeed Tianxing Jiang Yordanos Goshu Harry Yang Serge J. Belongie Ser-Nam Lim AAML 115 13 0 20 Nov 2019
Generate (non-software) Bugs to Fool Classifiers Hiromu Yakura Youhei Akimoto Jun Sakuma AAML 47 10 0 20 Nov 2019
Attack on Grid Event Cause Analysis: An Adversarial Machine Learning Approach I. Niazazari H. Livani AAML 25 24 0 19 Nov 2019
Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic Zhen Xiang David J. Miller Hang Wang G. Kesidis AAML 79 9 0 18 Nov 2019
Privacy Leakage Avoidance with Switching Ensembles R. Izmailov Peter Lin Chris Mesterharm S. Basu 61 2 0 18 Nov 2019
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models Tong Che Xiaofeng Liu Site Li Yubin Ge Ruixiang Zhang Caiming Xiong Yoshua Bengio 112 52 0 18 Nov 2019
Black-Box Adversarial Attack with Transferable Model-based Embedding Zhichao Huang Tong Zhang 77 119 0 17 Nov 2019
SMART: Skeletal Motion Action Recognition aTtack He Wang Feixiang He Zexi Peng Yong-Liang Yang Tianjia Shao Kun Zhou David C. Hogg AAML 55 5 0 16 Nov 2019
Selective sampling for accelerating training of deep neural networks Berry Weinstein Shai Fine Y. Hel-Or 23 3 0 16 Nov 2019
Defensive Few-shot Learning Wenbin Li Lei Wang Xingxing Zhang Lei Qi Jing Huo Yang Gao Jiebo Luo 83 7 0 16 Nov 2019
Neocortical plasticity: an unsupervised cake but no free lunch Eilif B. Muller Philippe Beaudoin 34 0 0 15 Nov 2019
AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients Xiaodan Li YueFeng Chen Yuan He Hui Xue OOD AAML 38 9 0 15 Nov 2019
Learning To Characterize Adversarial Subspaces Xiaofeng Mao YueFeng Chen Yuhong Li Yuan He Hui Xue AAML 76 11 0 15 Nov 2019
Simple iterative method for generating targeted universal adversarial perturbations Hokuto Hirano Kazuhiro Takemoto AAML 100 32 0 15 Nov 2019
Self-supervised Adversarial Training Kejiang Chen Hang Zhou YueFeng Chen Xiaofeng Mao Yuhong Li Yuan He Hui Xue Weiming Zhang Nenghai Yu GAN SSL 132 23 0 15 Nov 2019
Adversarial Margin Maximization Networks Ziang Yan Yiwen Guo Changshui Zhang AAML 37 12 0 14 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 127 105 0 13 Nov 2019
RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems Jianmin Guo Yue Zhao Xueying Han Yu Jiang AAML 74 13 0 11 Nov 2019
Imperceptible Adversarial Attacks on Tabular Data Vincent Ballet X. Renard Jonathan Aigrain Thibault Laugel P. Frossard Marcin Detyniecki 105 76 0 08 Nov 2019
Adversarial Attacks on GMM i-vector based Speaker Verification Systems Xu Li Jinghua Zhong Xixin Wu Jianwei Yu Xunying Liu Helen Meng AAML 74 79 0 08 Nov 2019
Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces Xue Jiang Xiao Zhang Dongrui Wu AAML 79 16 0 07 Nov 2019
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey Olakunle Ibitoye Rana Abou-Khamis Mohamed el Shehaby Ashraf Matrawy M. O. Shafiq AAML 95 70 0 06 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance Zhengyu Zhao Zhuoran Liu Martha Larson AAML 116 150 0 06 Nov 2019
Reversible Adversarial Attack based on Reversible Image Transformation Z. Yin Hua Wang Li Chen Jie Wang Weiming Zhang AAML PICV 93 16 0 06 Nov 2019
GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction Thai V. Le Suhang Wang Dongwon Lee 45 1 0 05 Nov 2019
DLA: Dense-Layer-Analysis for Adversarial Example Detection Philip Sperl Ching-yu Kao Peng Chen Konstantin Böttinger AAML 61 34 0 05 Nov 2019
Fast-UAP: An Algorithm for Speeding up Universal Adversarial Perturbation Generation with Orientation of Perturbation Vectors Jiazhu Dai Le Shu AAML 50 3 0 04 Nov 2019
Security of Facial Forensics Models Against Adversarial Attacks Rong Huang Fuming Fang H. Nguyen Junichi Yamagishi Isao Echizen AAML 55 6 0 02 Nov 2019
Adversarial Music: Real World Audio Adversary Against Wake-word Detection System Juncheng Billy Li Shuhui Qu Xinjian Li Joseph Szurley J. Zico Kolter Florian Metze AAML 69 67 0 31 Oct 2019
Beyond Universal Person Re-ID Attack Wenjie Ding Xing Wei Rongrong Ji Xiaopeng Hong Qi Tian Yihong Gong AAML 64 7 0 30 Oct 2019