DeepFool swMATH ID: 20937 Software Authors: Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard Description: DeepFool: a simple and accurate method to fool deep neural networks. State-of-the-art deep neural networks have achieved impressive results on many image classification tasks. However, these same architectures have been shown to be unstable to small, well sought, perturbations of the images. Despite the importance of this phenomenon, no effective methods have been proposed to accurately compute the robustness of state-of-the-art deep classifiers to such perturbations on large-scale datasets. In this paper, we fill this gap and propose the DeepFool algorithm to efficiently compute perturbations that fool deep networks, and thus reliably quantify the robustness of these classifiers. Extensive experimental results show that our approach outperforms recent methods in the task of computing adversarial perturbations and making classifiers more robust. DeepFool: a simple and accurate method to fool deep neural networks. Homepage: https://arxiv.org/abs/1511.04599v3 Source Code: https://github.com/lts4/deepfool Related Software: ImageNet; AlexNet; Reluplex; CIFAR; Adam; cleverhans; GitHub; TensorFlow; Grad-CAM; DeepXplore; AI2; MNIST; ANODE; PyTorch; Keras; Foolbox; Faster R-CNN; SIFT; DeepGauge; TensorFuzz Cited in: 22 Publications all top 5 Cited by 95 Authors 2 Huang, Xiaowei 1 Abebe, Seyum Assefa 1 Adcock, Ben 1 Anirudh, Rushil 1 Bak, Stanley 1 Ben Shalom, Gil 1 Ben-Yair, Ido 1 Benning, Martin 1 Bremer, Peer-Timo 1 Calzavara, Stefano 1 Celledoni, Elena 1 Chen, Liqian 1 Chu, Pengzhi 1 Croce, Francesco 1 Cui, Chunfeng 1 Daulbaev, Talgat 1 Deshmukh, Jyotirmoy V. 1 Dexter, Nick C. 1 Donzé, Alexandre 1 Dreossi, Tommaso 1 Ehrhardt, Matthias Joachim 1 Eliasof, Moshe 1 Fawzi, Alhussein 1 Fawzi, Omar 1 Frossard, Pascal 1 Gao, Chongzhi 1 Guo, Ying 1 Gusak, Julia 1 Hein, Matthias 1 Huang, Chengchao 1 Jansson, Ylva 1 Jiang, Linzhi 1 Johnson, Taylor T. 1 Kailkhura, Bhavya 1 Kesidis, George 1 Koh, Pang Wei 1 Kröning, Daniel 1 Li, Bo 1 Li, Kenli 1 Li, Keqin 1 Li, Renjue 1 Liang, Percy 1 Liao, Ningyi 1 Lindeberg, Tony 1 Liu, Heng 1 Liu, Jiangchao 1 Lucchese, Claudio 1 Ma, Chao 1 Manzanas Lopez, Diego 1 Miller, David John 1 Mohammadinejad, Sara 1 Musau, Patrick 1 Nguyen, Luan Viet 1 Orlando, Salvatore 1 Oseledets, Ivan Valer’evich 1 Owren, Brynjulf 1 Pal, Neelanjana 1 Paulsen, Brandon 1 Rauber, Jonas 1 Ruan, Wenjie 1 Schönlieb, Carola-Bibiane 1 Seshia, Sanjit Arunkumar 1 Shao, Shuo 1 Sharp, James D. 1 Sotoudeh, Matthew 1 Steinhardt, Jacob 1 Sun, Youcheng 1 Tang, Zhuo 1 Thakur, Aditya V. 1 Thamo, Emese 1 Thiagarajan, Jayaraman J. 1 Tolomei, Gabriele 1 Tran, Hoang-Dung 1 Treister, Eran 1 Wang, Chao 1 Wang, Hang 1 Wang, Shufan 1 Wei, Xingxing 1 Wu, Dexin 1 Wu, Min 1 Xiang, Liyao 1 Xiang, Weiming 1 Xiang, Zhen 1 Xu, Jian 1 Yang, Pengfei 1 Yang, Xiaodong 1 Ye, Nanyang 1 Yi, Xinping 1 Ying, Lexing 1 Zhang, Chen 1 Zhang, Kaiqi 1 Zhang, Lijun 1 Zhang, Zheng 1 Zhou, Fucai 1 Zuo, Youfei all top 5 Cited in 13 Serials 3 Information Sciences 3 Machine Learning 2 Formal Aspects of Computing 2 International Journal of Computer Vision 2 SIAM Journal on Mathematics of Data Science 1 Journal of Computational Mathematics 1 Journal of Automated Reasoning 1 Neural Computation 1 Journal of Mathematical Imaging and Vision 1 Data Mining and Knowledge Discovery 1 Computer Science Review 1 Journal of Computational Dynamics 1 Research in the Mathematical Sciences all top 5 Cited in 10 Fields 20 Computer science (68-XX) 4 Information and communication theory, circuits (94-XX) 3 Statistics (62-XX) 2 Numerical analysis (65-XX) 1 Linear and multilinear algebra; matrix theory (15-XX) 1 Approximations and expansions (41-XX) 1 Harmonic analysis on Euclidean spaces (42-XX) 1 Calculus of variations and optimal control; optimization (49-XX) 1 Operations research, mathematical programming (90-XX) 1 Systems theory; control (93-XX) Citations by Year