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
Understanding Deep Learning defenses Against Adversarial Examples Through Visualizations for Dynamic Risk Assessment Xabier Echeberria-Barrio Amaia Gil-Lerchundi Jon Egana-Zubia Raul Orduna Urrutia AAML 32 6 0 12 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 36 6 0 11 Feb 2024
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers Oryan Yehezkel Alon Zolfi Amit Baras Yuval Elovici A. Shabtai AAML 35 0 0 04 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Sparse and Transferable Universal Singular Vectors Attack Kseniia Kuvshinova Olga Tsymboi Ivan Oseledets AAML 38 0 0 25 Jan 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 21 1 0 20 Jan 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement Holger Boche Adalbert Fono Gitta Kutyniok FaML 31 4 0 18 Jan 2024
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method Chenxi Yang Yujia Liu Dingquan Li Tingting Jiang 40 6 0 10 Jan 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 26 0 0 09 Jan 2024
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks Peng Zhao Jiehua Zhang Bowen Peng Longguang Wang Yingmei Wei Yu Liu Li Liu AAML 34 0 0 21 Dec 2023
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 64 3 0 15 Dec 2023
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context Shashank Agnihotri Julia Grabinski M. Keuper 30 6 0 29 Nov 2023
Vulnerability Analysis of Transformer-based Optical Character Recognition to Adversarial Attacks Lucas Beerens D. Higham 36 1 0 28 Nov 2023
A Survey of Adversarial CAPTCHAs on its History, Classification and Generation Zisheng Xu Qiao Yan Fei Yu Victor C.M. Leung AAML 29 1 0 22 Nov 2023
Formal Verification of Long Short-Term Memory based Audio Classifiers: A Star based Approach Neelanjana Pal Taylor T. Johnson 27 0 0 16 Nov 2023
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 36 0 0 15 Nov 2023
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training Rui Xu Wenkang Qin Peixiang Huang Hao Wang Lin Luo FAtt AAML 38 2 0 09 Nov 2023
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation Kira Maag Asja Fischer AAML SSeg 42 3 0 26 Oct 2023
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval Xu Yuan Zheng-Wei Zhang Xunguang Wang Lin Wu AAML 37 11 0 23 Oct 2023
Adversarial Training for Physics-Informed Neural Networks Yao Li Shengzhu Shi Zhichang Guo Boying Wu AAML PINN 30 0 0 18 Oct 2023
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm S. M. Fazle J. Mondal Meem Arafat Manab Xi Xiao Sarfaraz Newaz AAML 29 0 0 18 Oct 2023
Evading Detection Actively: Toward Anti-Forensics against Forgery Localization Long Zhuo Shenghai Luo Shunquan Tan Han Chen Bin Li Jiwu Huang AAML 32 0 0 16 Oct 2023
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks Yang Wang B. Dong Ke Xu Haiyin Piao Yufei Ding Baocai Yin Xin Yang AAML 39 3 0 10 Oct 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization Jiancong Xiao Ruoyu Sun Zhimin Luo AAML 38 6 0 09 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 40 16 0 01 Oct 2023
Improving Machine Learning Robustness via Adversarial Training Long Dang T. Hapuarachchi Kaiqi Xiong Jing Lin OOD AAML 38 2 0 22 Sep 2023
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation K. K. Nakka Mathieu Salzmann DRL CoGe 26 2 0 20 Sep 2023
Input margins can predict generalization too Coenraad Mouton Marthinus W. Theunissen Marelie Hattingh Davel AAML UQCV AI4CE 23 3 0 29 Aug 2023
A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation Sahar Sadrizadeh Ljiljana Dolamic P. Frossard AAML SILM 44 2 0 29 Aug 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 39 3 0 20 Aug 2023
CGBA: Curvature-aware Geometric Black-box Attack Md. Farhamdur Reza A. Rahmati Tianfu Wu H. Dai AAML 22 17 0 06 Aug 2023
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models Erfan Shayegani Yue Dong Nael B. Abu-Ghazaleh 47 128 0 26 Jul 2023
Towards Generic and Controllable Attacks Against Object Detection Guopeng Li Yue Xu Jian Ding Guisong Xia AAML 37 6 0 23 Jul 2023
Towards Building More Robust Models with Frequency Bias Qingwen Bu Dong Huang Heming Cui AAML 17 10 0 19 Jul 2023
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems Xugui Zhou Anqi Chen Maxfield Kouzel Haotian Ren Morgan McCarty Cristina Nita-Rotaru H. Alemzadeh AAML 31 2 0 18 Jul 2023
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications Adam Ivankay Mattia Rigotti P. Frossard OOD MedIm 34 1 0 05 Jul 2023
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives Daniele Lunghi A. Simitsis O. Caelen Gianluca Bontempi AAML FaML 40 4 0 03 Jul 2023
Reliable AI: Does the Next Generation Require Quantum Computing? Aras Bacho Holger Boche Gitta Kutyniok 26 2 0 03 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 35 7 0 01 Jul 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World Weiran Lin Keane Lucas Neo Eyal Lujo Bauer Michael K. Reiter Mahmood Sharif OOD AAML 42 1 0 29 Jun 2023
On Evaluating the Adversarial Robustness of Semantic Segmentation Models L. Halmosi Márk Jelasity AAML VLM 39 1 0 25 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 26 11 0 21 Jun 2023
Graph-based methods coupled with specific distributional distances for adversarial attack detection dwight nwaigwe Lucrezia Carboni Martial Mermillod Sophie Achard M. Dojat AAML 32 3 0 31 May 2023
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness Zhan Hu Jun Zhu Bo Zhang Xiaolin Hu AAML 29 2 0 28 May 2023
Dendritic Integration Based Quadratic Neural Networks Outperform Traditional Aritificial Ones Chongmin Liu Songting Li Douglas Zhou 23 0 0 25 May 2023
Fantastic DNN Classifiers and How to Identify them without Data Nathaniel R. Dean D. Sarkar 23 1 0 24 May 2023
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation Kira Maag Asja Fischer AAML UQCV 23 4 0 22 May 2023
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing Yisong Xiao Aishan Liu Tianlin Li Xianglong Liu 22 26 0 19 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 52 51 0 18 May 2023
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend Chong Yu Tao Chen Zhongxue Gan AAML 23 1 0 18 May 2023