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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"

50 / 2,298 papers shown

Title
Revisiting DeepFool: generalization and improvement Alireza Abdollahpourrostam Mahed Abroshan Seyed-Mohsen Moosavi-Dezfooli AAML 77 2 0 22 Mar 2023
Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense B. Le Shahroz Tariq Simon S. Woo AAML 49 0 0 21 Mar 2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation Lijun Sheng Jian Liang Ran He Zilei Wang Tien-Ping Tan AAML 117 5 0 19 Mar 2023
Data-centric Artificial Intelligence: A Survey Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Zhimeng Jiang Shaochen Zhong Helen Zhou 119 215 0 17 Mar 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 102 29 0 17 Mar 2023
Robust Evaluation of Diffusion-Based Adversarial Purification M. Lee Dongwoo Kim 136 64 0 16 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang Xinyu Lin Sijia Liu AAML MLAU 101 1 0 13 Mar 2023
Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems Islam Debicha Benjamin Cochez Tayeb Kenaza Thibault Debatty Jean-Michel Dricot Wim Mees AAML 55 5 0 13 Mar 2023
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems Islam Debicha Benjamin Cochez Tayeb Kenaza Thibault Debatty Jean-Michel Dricot Wim Mees AAML 59 37 0 12 Mar 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey Yulong Wang Tong Sun Shenghong Li Xinnan Yuan W. Ni Ekram Hossain H. Vincent Poor AAML 107 18 0 11 Mar 2023
Do we need entire training data for adversarial training? Vipul Gupta Apurva Narayan AAML 70 1 0 10 Mar 2023
Accurate Real-time Polyp Detection in Videos from Concatenation of Latent Features Extracted from Consecutive Frames H. Qadir Younghak Shin Jacob Bergsland I. Balasingham MedIm 72 3 0 10 Mar 2023
Boosting Adversarial Attacks by Leveraging Decision Boundary Information Boheng Zeng LianLi Gao Qilong Zhang Chaoqun Li JingKuan Song Shuaiqi Jing AAML 112 2 0 10 Mar 2023
Decision-BADGE: Decision-based Adversarial Batch Attack with Directional Gradient Estimation Geunhyeok Yu Minwoo Jeon Hyoseok Hwang AAML 92 1 0 09 Mar 2023
Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors Raz Lapid Eylon Mizrahi Moshe Sipper AAML 64 1 0 07 Mar 2023
Testing the Channels of Convolutional Neural Networks Kang Choi Donghyun Son Younghoon Kim Jiwon Seo 65 1 0 06 Mar 2023
Targeted Adversarial Attacks against Neural Machine Translation Sahar Sadrizadeh AmirHossein Dabiri Aghdam Ljiljana Dolamic P. Frossard AAML 110 12 0 02 Mar 2023
Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain Chang-rui Liu Wenzhao Xiang Yuan He H. Xue Shibao Zheng Hang Su 83 4 0 28 Feb 2023
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks Mohammad Mohammadi Jonathan Nöther Debmalya Mandal Adish Singla Goran Radanović AAML OffRL 81 11 0 27 Feb 2023
CBA: Contextual Background Attack against Optical Aerial Detection in the Physical World Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Shaohui Mei AAML 127 36 0 27 Feb 2023
Uncertainty Injection: A Deep Learning Method for Robust Optimization W. Cui Wei Yu UQCV OOD 34 6 0 23 Feb 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition Jiadi Yao H. Luo Xiao-Lei Zhang AAML 61 2 0 21 Feb 2023
Generalization Bounds for Adversarial Contrastive Learning Xin Zou Weiwei Liu AAML 66 11 0 21 Feb 2023
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection Aishan Liu Jun Guo Jiakai Wang Siyuan Liang Renshuai Tao Wenbo Zhou Cong Liu Xianglong Liu Dacheng Tao AAML 107 66 0 19 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 112 23 0 19 Feb 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning Yu Fu Yu Xie Yanwei Fu Yugang Jiang 78 38 0 18 Feb 2023
Masking and Mixing Adversarial Training Hiroki Adachi Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi Yasunori Ishii Kazuki Kozuka AAML 21 1 0 16 Feb 2023
The Missing Margin: How Sample Corruption Affects Distance to the Boundary in ANNs Marthinus W. Theunissen Coenraad Mouton Marelie Hattingh Davel 49 1 0 14 Feb 2023
Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images Xuxiang Sun Gong Cheng Lei Pei Hongda Li Junwei Han AAML 50 38 0 13 Feb 2023
Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples Andrew C. Cullen Shijie Liu Paul Montague S. Erfani Benjamin I. P. Rubinstein AAML 92 3 0 09 Feb 2023
Toward Face Biometric De-identification using Adversarial Examples Mahdieh Ghafourian Julian Fierrez Luis F. Gomez R. Vera-Rodríguez Aythami Morales Zohra Rezgui Raymond N. J. Veldhuis PICV AAML 52 7 0 07 Feb 2023
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection Federica Granese Marco Romanelli S. Garg Pablo Piantanida AAML 55 0 0 04 Feb 2023
Lateralization in Agents' Decision Making: Evidence of Benefits/Costs from Artificial Intelligence Abubakar Siddique Will N. Browne Gina M. Grimshaw 20 0 0 03 Feb 2023
TransFool: An Adversarial Attack against Neural Machine Translation Models Sahar Sadrizadeh Ljiljana Dolamic P. Frossard SILM AAML 99 12 0 02 Feb 2023
Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks Xiaoyun Xu Oguzhan Ersoy S. Picek AAML 79 2 0 01 Feb 2023
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks Zhiyuan Cheng James Liang Guanhong Tao Dongfang Liu Xiangyu Zhang 94 21 0 31 Jan 2023
Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg Ayan Chakrabarti Chun-Ta Lu Hussein Hazimeh Otilia Stretcu ... Merve Kaya Cyrus Rashtchian Ariel Fuxman Mehmet Tek Sven Gowal AAML 92 10 0 30 Jan 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example Zeliang Zhang Peihan Liu Xiaosen Wang Chenliang Xu AAML 62 3 0 30 Jan 2023
Lateralized Learning for Multi-Class Visual Classification Tasks Abubakar Siddique Will N. Browne Gina M. Grimshaw 39 2 0 30 Jan 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 129 19 0 29 Jan 2023
Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid Farhin Farhad Riya Shahinul Hoque Jinyuan Stella Sun Jiangnan Li Hairong Qi Hairong Qi AAML AI4CE 116 0 0 29 Jan 2023
Attacking Important Pixels for Anchor-free Detectors Yunxu Xie Shu Hu Xin Wang Quanyu Liao Bin Zhu Xi Wu Siwei Lyu ObjD AAML 80 2 0 26 Jan 2023
Provable Unrestricted Adversarial Training without Compromise with Generalizability Lili Zhang Ning Yang Yanchao Sun Philip S. Yu AAML 84 2 0 22 Jan 2023
On the feasibility of attacking Thai LPR systems with adversarial examples Chissanupong Jiamsuchon Jakapan Suaboot Norrathep Rattanavipanon AAML 48 0 0 13 Jan 2023
AdvBiom: Adversarial Attacks on Biometric Matchers Debayan Deb Vishesh Mistry Rahul Parthe AAML CVBM 72 3 0 10 Jan 2023
Adversarial training with informed data selection Marcele O. K. Mendonça Javier Maroto P. Frossard P. Diniz AAML 55 4 0 07 Jan 2023
GUAP: Graph Universal Attack Through Adversarial Patching Xiao Zang Jie Chen Bo Yuan AAML 66 4 0 04 Jan 2023
Beckman Defense A. V. Subramanyam OOD AAML 81 0 0 04 Jan 2023
ExploreADV: Towards exploratory attack for Neural Networks Tianzuo Luo Yuyi Zhong S. Khoo AAML 70 1 0 01 Jan 2023
Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence Han Fang Jiyi Zhang Yupeng Qiu Ke Xu Chengfang Fang E. Chang AAML 100 2 0 31 Dec 2022