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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
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 88 16 0 24 May 2018
Adversarially Robust Training through Structured Gradient Regularization Kevin Roth Aurelien Lucchi Sebastian Nowozin Thomas Hofmann 72 23 0 22 May 2018
A Simple Cache Model for Image Recognition Emin Orhan VLM 128 30 0 21 May 2018
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 218 307 0 21 May 2018
Targeted Adversarial Examples for Black Box Audio Systems Rohan Taori Amog Kamsetty Brenton Chu N. Vemuri AAML 63 186 0 20 May 2018
Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks Jiefeng Chen Xi Wu Vaibhav Rastogi Yingyu Liang S. Jha AAML 79 22 0 20 May 2018
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models Pouya Samangouei Maya Kabkab Rama Chellappa AAML GAN 120 1,182 0 17 May 2018
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary Byeongho Heo Minsik Lee Sangdoo Yun J. Choi AAML 144 146 0 15 May 2018
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks Wenshuo Li Jincheng Yu Xuefei Ning Pengjun Wang Qi Wei Yu Wang Huazhong Yang AAML 93 62 0 14 May 2018
Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing Jingyi Wang Jun Sun Peixin Zhang Xinyu Wang AAML 76 41 0 14 May 2018
Quantitative Projection Coverage for Testing ML-enabled Autonomous Systems Chih-Hong Cheng Chung-Hao Huang Hirotoshi Yasuoka 60 41 0 11 May 2018
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar Aleksander Madry OOD AAML 205 797 0 30 Apr 2018
Formal Security Analysis of Neural Networks using Symbolic Intervals Shiqi Wang Kexin Pei Justin Whitehouse Junfeng Yang Suman Jana AAML 86 478 0 28 Apr 2018
PANDA: Facilitating Usable AI Development Jinyang Gao Wei Wang Meihui Zhang Gang Chen H. V. Jagadish Guoliang Li Teck Khim Ng Beng Chin Ooi Sheng Wang Jingren Zhou 75 4 0 26 Apr 2018
Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning Mahdieh Abbasi Arezoo Rajabi Christian Gagné R. Bobba OODD 58 6 0 24 Apr 2018
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 184 1,208 0 23 Apr 2018
VectorDefense: Vectorization as a Defense to Adversarial Examples V. Kabilan Brandon L. Morris Anh Totti Nguyen AAML 66 21 0 23 Apr 2018
Decoupled Networks Weiyang Liu Ziqiang Liu Zhiding Yu Bo Dai Rongmei Lin Yisen Wang James M. Rehg Le Song OOD 66 70 0 22 Apr 2018
ADef: an Iterative Algorithm to Construct Adversarial Deformations Rima Alaifari Giovanni S. Alberti Tandri Gauksson AAML 94 97 0 20 Apr 2018
Robustness via Deep Low-Rank Representations Amartya Sanyal Varun Kanade Philip Torr P. Dokania OOD 137 17 0 19 Apr 2018
Attacking Convolutional Neural Network using Differential Evolution Jiawei Su Danilo Vasconcellos Vargas Kouichi Sakurai AAML 62 45 0 19 Apr 2018
Semantic Adversarial Deep Learning Sanjit A. Seshia S. Jha T. Dreossi AAML SILM 80 91 0 19 Apr 2018
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 213 429 0 16 Apr 2018
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the $L_0$ Norm Wenjie Ruan Min Wu Youcheng Sun Xiaowei Huang Daniel Kroening Marta Kwiatkowska AAML 65 39 0 16 Apr 2018
Adversarial Attacks Against Medical Deep Learning Systems S. G. Finlayson Hyung Won Chung I. Kohane Andrew L. Beam SILM AAML OOD MedIm 85 232 0 15 Apr 2018
On the Limitation of MagNet Defense against $L_1$ -based Adversarial Examples Pei-Hsuan Lu Pin-Yu Chen Kang-Cheng Chen Chia-Mu Yu AAML 114 19 0 14 Apr 2018
Unifying Bilateral Filtering and Adversarial Training for Robust Neural Networks Neale Ratzlaff Fuxin Li AAML FedML 35 1 0 05 Apr 2018
Task-Driven Super Resolution: Object Detection in Low-resolution Images Muhammad Haris Gregory Shakhnarovich Norimichi Ukita 79 175 0 30 Mar 2018
The Effects of JPEG and JPEG2000 Compression on Attacks using Adversarial Examples Ayse Elvan Aydemir A. Temi̇zel T. Taşkaya-Temizel AAML 59 32 0 28 Mar 2018
Clipping free attacks against artificial neural networks B. Addad Jérôme Kodjabachian Christophe Meyer AAML 29 1 0 26 Mar 2018
Generalizability vs. Robustness: Adversarial Examples for Medical Imaging Magdalini Paschali Sailesh Conjeti Fernando Navarro Nassir Navab OOD MedIm AAML 97 92 0 23 Mar 2018
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization Daniel Jakubovitz Raja Giryes AAML 99 210 0 23 Mar 2018
Robust Blind Deconvolution via Mirror Descent Sathya Ravi Ronak R. Mehta Vikas Singh 21 3 0 21 Mar 2018
Adversarial Defense based on Structure-to-Signal Autoencoders Joachim Folz Sebastián M. Palacio Jörn Hees Damian Borth Andreas Dengel AAML 71 32 0 21 Mar 2018
Semantic Adversarial Examples Hossein Hosseini Radha Poovendran GAN AAML 108 199 0 16 Mar 2018
Defending against Adversarial Attack towards Deep Neural Networks via Collaborative Multi-task Training Derui Wang Chaoran Li S. Wen Surya Nepal Yang Xiang AAML 74 30 0 14 Mar 2018
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples Zihao Liu Qi Liu Tao Liu Nuo Xu Xue Lin Yanzhi Wang Wujie Wen AAML MQ 85 265 0 14 Mar 2018
Deep Dictionary Learning: A PARametric NETwork Approach Shahin Mahdizadehaghdam Ashkan Panahi Hamid Krim Liyi Dai 78 63 0 11 Mar 2018
BEBP: An Poisoning Method Against Machine Learning Based IDSs Pan Li Qiang Liu Wentao Zhao Dongxu Wang Siqi Wang AAML 52 6 0 11 Mar 2018
Combating Adversarial Attacks Using Sparse Representations S. Gopalakrishnan Zhinus Marzi Upamanyu Madhow Ramtin Pedarsani AAML 69 24 0 11 Mar 2018
On Generation of Adversarial Examples using Convex Programming E. Balda Arash Behboodi R. Mathar AAML 44 13 0 09 Mar 2018
Sparse Adversarial Perturbations for Videos Xingxing Wei Jun Zhu Hang Su AAML 77 142 0 07 Mar 2018
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples Minhao Cheng Jinfeng Yi Pin-Yu Chen Huan Zhang Cho-Jui Hsieh SILM AAML 116 245 0 03 Mar 2018
Protecting JPEG Images Against Adversarial Attacks Aaditya (Adi) Prakash N. Moran Solomon Garber Antonella DiLillo J. Storer AAML 80 34 0 02 Mar 2018
Adversarial Active Learning for Deep Networks: a Margin Based Approach Mélanie Ducoffe F. Precioso GAN AAML 153 277 0 27 Feb 2018
Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples Jake Zhao Kyunghyun Cho AAML 160 20 0 26 Feb 2018
Max-Mahalanobis Linear Discriminant Analysis Networks Tianyu Pang Chao Du Jun Zhu 83 55 0 26 Feb 2018
Adversarial vulnerability for any classifier Alhussein Fawzi Hamza Fawzi Omar Fawzi AAML 128 251 0 23 Feb 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness Ziang Yan Yiwen Guo Changshui Zhang AAML 97 110 0 23 Feb 2018
$Robustness of classifiers to uniform $\ell\_p$ and Gaussian noise$ Robustness of classifiers to uniform $\ell\_p$ and Gaussian noise Jean-Yves Franceschi Alhussein Fawzi Omar Fawzi 72 21 0 22 Feb 2018