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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
Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models Yulong Wang Minghui Zhao Shenghong Li Xinnan Yuan W. Ni 70 16 0 19 Aug 2022
Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries Manaar Alam Shubhajit Datta Debdeep Mukhopadhyay Arijit Mondal P. Chakrabarti AAML 30 5 0 18 Aug 2022
Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against Shadow-Based Adversarial Attacks Andrew Wang Wyatt Mayor Ryan Smith Gopal Nookula G. Ditzler AAML 58 1 0 18 Aug 2022
An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks Raz Lapid Zvika Haramaty Moshe Sipper AAML MLAU 73 12 0 17 Aug 2022
Two Heads are Better than One: Robust Learning Meets Multi-branch Models Dong Huang Qi Bu Yuhao Qing Haowen Pi Sen Wang Heming Cui OOD AAML 60 0 0 17 Aug 2022
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models Brendon G. Anderson Tanmay Gautam Somayeh Sojoudi OOD 53 2 0 15 Aug 2022
Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator Xiang Gao Cheng Luo Qinliang Lin Weicheng Xie Minmin Liu Linlin Shen Keerthy Kusumam Siyang Song 50 5 0 12 Aug 2022
Abutting Grating Illusion: Cognitive Challenge to Neural Network Models Jinyu Fan Yi Zeng AAML 58 1 0 08 Aug 2022
Design of secure and robust cognitive system for malware detection Sanket Shukla AAML 51 2 0 03 Aug 2022
Is current research on adversarial robustness addressing the right problem? Ali Borji OOD AAML 56 1 0 31 Jul 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 90 2 0 31 Jul 2022
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection Caleb Tung Abhinav Goel Fischer Bordwell Nick Eliopoulos Xiao Hu George K. Thiruvathukal Yung-Hsiang Lu 25 4 0 28 Jul 2022
Look Closer to Your Enemy: Learning to Attack via Teacher-Student Mimicking Mingejie Wang Jianxiong Guo Sirui Li Dingwen Xiao Zhiqing Tang AAML 83 0 0 27 Jul 2022
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing Daizong Liu Wei Hu Xin Li AAML 3DPC 95 16 0 27 Jul 2022
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness Jindong Gu Hengshuang Zhao Volker Tresp Philip Torr AAML 119 77 0 25 Jul 2022
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility Rohit Gupta Naveed Akhtar Ajmal Mian M. Shah AAML SSL 60 5 0 22 Jul 2022
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing Michael Weiss A. Gómez Paolo Tonella AAML 62 6 0 21 Jul 2022
Decorrelative Network Architecture for Robust Electrocardiogram Classification Christopher Wiedeman Ge Wang OOD 77 2 0 19 Jul 2022
$Multi-step domain adaptation by adversarial attack to $\mathcal{H} Δ\mathcal{H}$-divergence$ Multi-step domain adaptation by adversarial attack to $\mathcal{H} Δ\mathcal{H}$ -divergence Arip Asadulaev Alexander Panfilov Andrey Filchenkov AAML 26 0 0 18 Jul 2022
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations H. Malik Shahina Kunhimon Muzammal Naseer Salman Khan Fahad Shahbaz Khan AAML 57 8 0 18 Jul 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 100 32 0 18 Jul 2022
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking Xiangyu Yin Wenjie Ruan J. Fieldsend AAML 74 29 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 81 6 0 16 Jul 2022
Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training Xiaoyu Liang Yaguan Qian Jianchang Huang Xiang Ling Bin Wang Chunming Wu Wassim Swaileh AAML 45 4 0 16 Jul 2022
Work In Progress: Safety and Robustness Verification of Autoencoder-Based Regression Models using the NNV Tool Neelanjana Pal Taylor T. Johnson 35 1 0 14 Jul 2022
Interactive Machine Learning: A State of the Art Review Natnael A. Wondimu Cédric Buche U. Visser VLM HAI 102 10 0 13 Jul 2022
Perturbation Inactivation Based Adversarial Defense for Face Recognition Min Ren Yuhao Zhu Yunlong Wang Zhenan Sun AAML 56 14 0 13 Jul 2022
Exploring Adversarial Examples and Adversarial Robustness of Convolutional Neural Networks by Mutual Information Jiebao Zhang Wenhua Qian Ren-qi Nie Jinde Cao Dan Xu GAN AAML 61 0 0 12 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 103 167 0 12 Jul 2022
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures Jia-Wei Liu Ran Cheng Yaochu Jin AAML 114 7 0 12 Jul 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing Yijiang Pang Boyang Liu Jiayu Zhou OOD AAML 61 1 0 11 Jul 2022
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy R. Olivier Bhiksha Raj AAML 66 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 117 1 0 08 Jul 2022
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label Shengshan Hu Ziqi Zhou Yechao Zhang L. Zhang Yifeng Zheng Yuanyuan HE Hai Jin AAML 107 46 0 01 Jul 2022
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors Federica Granese Marine Picot Marco Romanelli Francisco Messina Pablo Piantanida AAML 79 3 0 30 Jun 2022
Detecting and Recovering Adversarial Examples from Extracting Non-robust and Highly Predictive Adversarial Perturbations Mingyu Dong Jiahao Chen Diqun Yan Jingxing Gao Li Dong Rangding Wang AAML 56 0 0 30 Jun 2022
A Deep Learning Approach to Create DNS Amplification Attacks Jared Mathews Prosenjit Chatterjee S. Banik Cory Nance AAML 41 1 0 29 Jun 2022
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs Chen-Hao Hu Weiwen Shi AAML 106 5 0 23 Jun 2022
Transferable Graph Backdoor Attack Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe Damith C. Ranasinghe S. Kanhere AAML 96 39 0 21 Jun 2022
Measuring Lower Bounds of Local Differential Privacy via Adversary Instantiations in Federated Learning Marin Matsumoto Tsubasa Takahashi Seng Pei Liew M. Oguchi FedML BDL 55 0 0 18 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 73 12 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 82 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 75 31 0 15 Jun 2022
Proximal Splitting Adversarial Attacks for Semantic Segmentation Jérôme Rony J. Pesquet Ismail Ben Ayed AAML 55 23 0 14 Jun 2022
Adversarial Vulnerability of Randomized Ensembles Hassan Dbouk Naresh R Shanbhag AAML 61 7 0 14 Jun 2022
Pixel to Binary Embedding Towards Robustness for CNNs Ikki Kishida Hideki Nakayama 140 0 0 13 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 40 11 0 12 Jun 2022
An Efficient Method for Sample Adversarial Perturbations against Nonlinear Support Vector Machines Wen Su Qingna Li AAML 31 0 0 12 Jun 2022
Rare event failure test case generation in Learning-Enabled-Controllers H. Vardhan J. Sztipanovits 68 20 0 11 Jun 2022
Defending Adversarial Examples by Negative Correlation Ensemble Wenjian Luo Hongwei Zhang Linghao Kong Zhijian Chen Jiaheng Zhang AAML 27 1 0 11 Jun 2022