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 / 910 papers shown

Title
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations H. Malik Shahina Kunhimon Muzammal Naseer Salman Khan Fahad Shahbaz Khan AAML 35 8 0 18 Jul 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 40 32 0 18 Jul 2022
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking Xiangyu Yin Wenjie Ruan J. Fieldsend AAML 40 28 0 17 Jul 2022
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders Jiahao Qi Z. Gong Xingyue Liu Kangcheng Bin Chen Chen Yongqiang Li Wei Xue Yu Zhang P. Zhong AAML 42 6 0 16 Jul 2022
Frequency Domain Model Augmentation for Adversarial Attack Yuyang Long Qi-li Zhang Boheng Zeng Lianli Gao Xianglong Liu Jian Zhang Jingkuan Song AAML 37 156 0 12 Jul 2022
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures Jia-Wei Liu Ran Cheng Yaochu Jin AAML 32 7 0 12 Jul 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing Yijiang Pang Boyang Liu Jiayu Zhou OOD AAML 24 1 0 11 Jul 2022
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy R. Olivier Bhiksha Raj AAML 34 5 0 08 Jul 2022
Guiding the retraining of convolutional neural networks against adversarial inputs Francisco Durán Silverio Martínez-Fernández Michael Felderer Xavier Franch AAML 43 1 0 08 Jul 2022
Transferable Graph Backdoor Attack Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe Damith C. Ranasinghe S. Kanhere AAML 49 36 0 21 Jun 2022
Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-modal Fake News Detection Jinyin Chen Chengyu Jia Haibin Zheng Ruoxi Chen Chenbo Fu AAML 24 10 0 17 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 29 20 0 16 Jun 2022
Improving Diversity with Adversarially Learned Transformations for Domain Generalization Tejas Gokhale Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura Chitta Baral Yezhou Yang 27 28 0 15 Jun 2022
Security of Machine Learning-Based Anomaly Detection in Cyber Physical Systems Zahra Jadidi S. Pal Nithesh Nayak K A. Selvakkumar C. Chang Maedeh Beheshti A. Jolfaei AAML 21 10 0 12 Jun 2022
An Efficient Method for Sample Adversarial Perturbations against Nonlinear Support Vector Machines Wen Su Qingna Li AAML 19 0 0 12 Jun 2022
Rare event failure test case generation in Learning-Enabled-Controllers H. Vardhan J. Sztipanovits 29 20 0 11 Jun 2022
Wavelet Regularization Benefits Adversarial Training Jun Yan Huilin Yin Xiaoyang Deng Zi-qin Zhao Wancheng Ge Hao Zhang Gerhard Rigoll AAML 24 2 0 08 Jun 2022
Fooling Explanations in Text Classifiers Adam Ivankay Ivan Girardi Chiara Marchiori P. Frossard AAML 35 19 0 07 Jun 2022
Certified Robustness in Federated Learning Motasem Alfarra Juan C. Pérez Egor Shulgin Peter Richtárik Guohao Li AAML FedML 23 7 0 06 Jun 2022
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack Zeyu Dai Shengcai Liu Jiaheng Zhang Qing Li AAML 37 11 0 04 Jun 2022
On the reversibility of adversarial attacks C. Li Ricardo Sánchez-Matilla Ali Shahin Shamsabadi Riccardo Mazzon Andrea Cavallaro AAML 21 2 0 01 Jun 2022
Attack-Agnostic Adversarial Detection Jiaxin Cheng Mohamed Hussein J. Billa Wael AbdAlmageed AAML 28 0 0 01 Jun 2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems Zeyan Liu Fengjun Li Jingqiang Lin Zhu Li Bo Luo AAML 15 1 0 31 May 2022
Superclass Adversarial Attack Soichiro Kumano Hiroshi Kera T. Yamasaki AAML 37 1 0 29 May 2022
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems Alberto Marchisio Giovanni Caramia Maurizio Martina Mohamed Bennai AAML 35 8 0 27 May 2022
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning Zhenting Wang Juan Zhai Shiqing Ma AAML 136 97 0 26 May 2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks Sizhe Chen Zhehao Huang Qinghua Tao Yingwen Wu Cihang Xie Xiaolin Huang AAML 110 28 0 24 May 2022
On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems Soma Kontár A. Horváth AAML 40 1 0 21 May 2022
Gradient-based Counterfactual Explanations using Tractable Probabilistic Models Xiaoting Shao Kristian Kersting BDL 24 1 0 16 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks Siddhartha Datta AAML 41 4 0 15 May 2022
Evaluating Membership Inference Through Adversarial Robustness Zhaoxi Zhang L. Zhang Xufei Zheng Bilal Hussain Abbasi Shengshan Hu AAML 62 14 0 14 May 2022
Infrared Invisible Clothing:Hiding from Infrared Detectors at Multiple Angles in Real World Xiaopei Zhu Zhan Hu Siyuan Huang Jianmin Li Xiaolin Hu AAML 28 55 0 12 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 24 7 0 05 May 2022
CE-based white-box adversarial attacks will not work using super-fitting Youhuan Yang Lei Sun Leyu Dai Song Guo Xiuqing Mao Xiaoqin Wang Bayi Xu AAML 39 0 0 04 May 2022
DDDM: a Brain-Inspired Framework for Robust Classification Xiyuan Chen Xingyu Li Yi Zhou Tianming Yang AAML DiffM 43 7 0 01 May 2022
Software Testing for Machine Learning D. Marijan A. Gotlieb AAML 24 27 0 30 Apr 2022
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations Na Liu Mark Dras Wei Emma Zhang AAML 24 6 0 29 Apr 2022
A Mask-Based Adversarial Defense Scheme Weizhen Xu Chenyi Zhang Fangzhen Zhao Liangda Fang AAML 30 3 0 21 Apr 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Mohamed Bennai 39 13 0 18 Apr 2022
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning Jun Guo Yonghong Chen Yihang Hao Zixin Yin Yin Yu Simin Li AAML 37 32 0 17 Apr 2022
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning Mathias Lechner Alexander Amini Daniela Rus T. Henzinger AAML 34 10 0 15 Apr 2022
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization Jungbeom Lee Eunji Kim J. Mok Sung-Hoon Yoon WSOL 42 29 0 11 Apr 2022
Measuring the False Sense of Security Carlos Gomes AAML 27 0 0 10 Apr 2022
Adversarial Robustness through the Lens of Convolutional Filters Paul Gavrikov J. Keuper 40 15 0 05 Apr 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Wen Li AAML 45 8 0 02 Apr 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 54 72 0 26 Mar 2022
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks Xiaofei Xie Tianlin Li Jian-Xun Wang Lei Ma Qing Guo Felix Juefei Xu Yang Liu AAML 29 51 0 24 Mar 2022
Bayesian Deep Learning with Multilevel Trace-class Neural Networks Neil K. Chada Ajay Jasra K. Law Sumeetpal S. Singh BDL UQCV 83 3 0 24 Mar 2022
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike Johannes Schneider Giovanni Apruzzese AAML 37 8 0 18 Mar 2022
Leveraging Adversarial Examples to Quantify Membership Information Leakage Ganesh Del Grosso Hamid Jalalzai Georg Pichler C. Palamidessi Pablo Piantanida MIACV 44 21 0 17 Mar 2022