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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
Diffusion-based Adversarial Purification for Intrusion Detection Mohamed Amine Merzouk Erwan Beurier Reda Yaich Nora Boulahia-Cuppens Frédéric Cuppens AAML 145 0 0 25 Jun 2024
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection Yi Li Plamen Angelov Zhengxin Yu Alvaro Lopez Pellicer Neeraj Suri 60 3 0 22 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 244 1 0 21 Jun 2024
Enhancing robustness of data-driven SHM models: adversarial training with circle loss Xiangli Yang Xijie Deng Hanwei Zhang Yang Zou Jianxi Yang AAML 62 0 0 20 Jun 2024
Obfuscating IoT Device Scanning Activity via Adversarial Example Generation Haocong Li Yaxin Zhang Long Cheng Wenjia Niu Haining Wang Qiang Li AAML 69 0 0 17 Jun 2024
Imperceptible Face Forgery Attack via Adversarial Semantic Mask Decheng Liu Qixuan Su Chunlei Peng Nannan Wang Xinbo Gao AAML 83 1 0 16 Jun 2024
RMF: A Risk Measurement Framework for Machine Learning Models Jan Schröder Jakub Breier 30 1 0 15 Jun 2024
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis Zhang Chen Christian Scano Srishti Gupta Xiaoyi Feng Zhaoqiang Xia ... Maura Pintor Luca Oneto Ambra Demontis Battista Biggio Fabio Roli AAML 87 2 0 14 Jun 2024
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models Samar Fares Klea Ziu Toluwani Aremu Nikita Durasov Martin Takáč Pascal Fua Karthik Nandakumar Ivan Laptev VLM AAML 99 5 0 13 Jun 2024
Texture Re-scalable Universal Adversarial Perturbation Yihao Huang Qing Guo Felix Juefei-Xu Ming Hu Xiaojun Jia Xiaochun Cao Geguang Pu Yang Liu AAML 82 8 0 10 Jun 2024
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks Zhiyuan Cheng Cheng Han James Liang Qifan Wang Xiangyu Zhang Dongfang Liu AAML 79 5 0 09 Jun 2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models Hao Fang Jiawei Kong Wenbo Yu Bin Chen Jiawei Li Hao Wu Ke Xu Ke Xu AAML VLM 133 14 0 08 Jun 2024
ZeroPur: Succinct Training-Free Adversarial Purification Xiuli Bi Zonglin Yang Bo Liu Xiaodong Cun Chi-Man Pun 119 0 0 05 Jun 2024
SVASTIN: Sparse Video Adversarial Attack via Spatio-Temporal Invertible Neural Networks Yi Pan Jun-Jie Huang Zihan Chen Wentao Zhao Ziyue Wang 48 0 0 04 Jun 2024
Constraint-based Adversarial Example Synthesis Fang Yu Ya-Yu Chi Yu-Fang Chen AAML 93 0 0 03 Jun 2024
HOLMES: to Detect Adversarial Examples with Multiple Detectors Jing Wen AAML 78 0 0 30 May 2024
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning Dipam Goswami Albin Soutif--Cormerais Yuyang Liu Sandesh Kamath Bartlomiej Twardowski Joost van de Weijer AAML 79 19 0 29 May 2024
OSLO: One-Shot Label-Only Membership Inference Attacks Yuefeng Peng Jaechul Roh Subhransu Maji Amir Houmansadr 101 2 0 27 May 2024
PUMA: margin-based data pruning Javier Maroto Pascal Frossard AAML 79 1 0 10 May 2024
UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images Y. Qu Xinyue Shen Yixin Wu Michael Backes Savvas Zannettou Yang Zhang EGVM 97 20 0 06 May 2024
Tree-based Ensemble Learning for Out-of-distribution Detection Zhaiming Shen Menglun Wang Guang Cheng Ming-Jun Lai Lin Mu Ruihao Huang Qi Liu Hao Zhu OODD 38 0 0 05 May 2024
Assessing Adversarial Robustness of Large Language Models: An Empirical Study Zeyu Yang Zhao Meng Xiaochen Zheng Roger Wattenhofer ELM AAML 88 10 0 04 May 2024
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective Wanqi Zhou Shuanghao Bai Qibin Zhao Badong Chen VLM AAML 115 9 0 30 Apr 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples Antonio Emanuele Cinà Jérôme Rony Maura Pintor Christian Scano Ambra Demontis Battista Biggio Ismail Ben Ayed Fabio Roli ELM AAML SILM 133 10 0 30 Apr 2024
MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception Vidit Khazanchi Pavan Kulkarni Yuvaraj Govindarajulu Manojkumar Somabhai Parmar AAML 60 1 0 24 Apr 2024
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation Heqi Peng Yun-an Wang Ruijie Yang Beichen Li Rui Wang Yuanfang Guo AAML 71 1 0 19 Apr 2024
Counteracting Concept Drift by Learning with Future Malware Predictions B. Bosanský Lada Hospodkova Michal Najman M. Rigaki E. Babayeva Viliam Lisý AAML 34 1 0 14 Apr 2024
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 120 3 0 12 Apr 2024
David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge Miguel Costa Sandro Pinto AAML 83 0 0 08 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 91 7 0 08 Apr 2024
Goal-guided Generative Prompt Injection Attack on Large Language Models Chong Zhang Mingyu Jin Qinkai Yu Chengzhi Liu Haochen Xue Xiaobo Jin AAML SILM 96 16 0 06 Apr 2024
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks Lei Zhang Yuhang Zhou Yi Yang Xinbo Gao AAML OOD 80 7 0 04 Apr 2024
BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes Amirhossein Abaskohi AmirHossein Dabiri Aghdam Lele Wang Giuseppe Carenini 76 1 0 03 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay Yuhang Zhou Zhongyun Hua AAML CLL 96 4 0 02 Apr 2024
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models Jiachen Ma Anda Cao Zhiqing Xiao Jie Zhang Chaonan Ye Chao Ye Junbo Zhao 135 33 0 02 Apr 2024
Machine Learning Robustness: A Primer Houssem Ben Braiek Foutse Khomh AAML OOD 106 8 0 01 Apr 2024
Robust optimization for adversarial learning with finite sample complexity guarantees André Bertolace Konstatinos Gatsis Kostas Margellos AAML 64 1 0 22 Mar 2024
Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process Vitaliy Pozdnyakov Aleksandr Kovalenko Ilya Makarov Mikhail Drobyshevskiy Kirill Lukyanov AAML 71 6 0 20 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei Xu DD AAML 100 5 0 20 Mar 2024
Impart: An Imperceptible and Effective Label-Specific Backdoor Attack Jingke Zhao Zan Wang Yongwei Wang Lanjun Wang AAML 21 0 0 18 Mar 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM Linyu Tang Lei Zhang AAML 87 5 0 18 Mar 2024
Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization Yujia Liu Chenxi Yang Dingquan Li Jianhao Ding Tingting Jiang 76 5 0 18 Mar 2024
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study Chenguang Wang Ruoxi Jia Xin Liu Dawn Song VLM 80 8 0 15 Mar 2024
Towards Non-Adversarial Algorithmic Recourse Tobias Leemann Martin Pawelczyk Bardh Prenkaj Gjergji Kasneci AAML 81 2 0 15 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 130 1 0 15 Mar 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 170 8 0 15 Mar 2024
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency Hallgrimur Thorsteinsson Valdemar J Henriksen Tong Chen Raghavendra Selvan AAML 85 1 0 14 Mar 2024
Versatile Defense Against Adversarial Attacks on Image Recognition Haibo Zhang Zhihua Yao Kouichi Sakurai AAML 46 2 0 13 Mar 2024
Hard-label based Small Query Black-box Adversarial Attack Jeonghwan Park Paul Miller Niall McLaughlin MLAU 64 6 0 09 Mar 2024
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume Ping Guo Cheng Gong Xi Lin Zhiyuan Yang Qingfu Zhang AAML 76 2 0 08 Mar 2024