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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
Improved Network Robustness with Adversary Critic Alexander Matyasko Lap-Pui Chau AAML 50 14 0 30 Oct 2018
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution Dimitrios I. Diochnos Saeed Mahloujifar Mohammad Mahmoody AAML 58 72 0 29 Oct 2018
Evading classifiers in discrete domains with provable optimality guarantees B. Kulynych Jamie Hayes N. Samarin Carmela Troncoso AAML 85 20 0 25 Oct 2018
Robust Adversarial Learning via Sparsifying Front Ends S. Gopalakrishnan Zhinus Marzi Metehan Cekic Upamanyu Madhow Ramtin Pedarsani AAML 58 3 0 24 Oct 2018
Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses Mohammad J. Hashemi Greg Cusack Eric Keller AAML SILM 51 8 0 23 Oct 2018
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy Jingkang Wang R. Jia Gerald Friedland Yangqiu Song C. Spanos AAML 40 4 0 23 Oct 2018
Sparse DNNs with Improved Adversarial Robustness Yiwen Guo Chao Zhang Changshui Zhang Yurong Chen AAML 100 154 0 23 Oct 2018
On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm Tsui-Wei Weng Huan Zhang Pin-Yu Chen A. Lozano Cho-Jui Hsieh Luca Daniel 51 10 0 19 Oct 2018
Provable Robustness of ReLU networks via Maximization of Linear Regions Francesco Croce Maksym Andriushchenko Matthias Hein 92 166 0 17 Oct 2018
Security Matters: A Survey on Adversarial Machine Learning Guofu Li Pengjia Zhu Jin Li Zhemin Yang Ning Cao Zhiyi Chen AAML 90 25 0 16 Oct 2018
Multi-scale Geometric Summaries for Similarity-based Sensor Fusion Christopher J. Tralie Paul Bendich J. Harer 18 2 0 13 Oct 2018
MeshAdv: Adversarial Meshes for Visual Recognition Chaowei Xiao Dawei Yang Yue Liu Jia Deng M. Liu AAML 63 25 0 11 Oct 2018
Secure Deep Learning Engineering: A Software Quality Assurance Perspective Lei Ma Felix Juefei Xu Minhui Xue Q. Hu Sen Chen Yue Liu Yang Liu Jianjun Zhao Jianxiong Yin Simon See AAML 80 35 0 10 Oct 2018
Analyzing the Noise Robustness of Deep Neural Networks Mengchen Liu Shixia Liu Hang Su Kelei Cao Jun Zhu AAML 70 7 0 09 Oct 2018
The Adversarial Attack and Detection under the Fisher Information Metric Chenxiao Zhao P. T. Fletcher Mixue Yu Chaomin Shen Guixu Zhang Yaxin Peng AAML 76 47 0 09 Oct 2018
Efficient Two-Step Adversarial Defense for Deep Neural Networks Ting-Jui Chang Yukun He Peng Li AAML 69 11 0 08 Oct 2018
Combinatorial Attacks on Binarized Neural Networks Elias Boutros Khalil Amrita Gupta B. Dilkina AAML 89 40 0 08 Oct 2018
Interpretable Convolutional Neural Networks via Feedforward Design C.-C. Jay Kuo Min Zhang Siyang Li Jiali Duan Yueru Chen 88 157 0 05 Oct 2018
Improved Generalization Bounds for Adversarially Robust Learning Idan Attias A. Kontorovich Yishay Mansour 82 20 0 04 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 102 49 0 02 Oct 2018
Large batch size training of neural networks with adversarial training and second-order information Z. Yao A. Gholami Daiyaan Arfeen Richard Liaw Joseph E. Gonzalez Kurt Keutzer Michael W. Mahoney ODL 96 42 0 02 Oct 2018
Improved robustness to adversarial examples using Lipschitz regularization of the loss Chris Finlay Adam M. Oberman B. Abbasi 80 34 0 01 Oct 2018
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks Kenneth T. Co Luis Muñoz-González Sixte de Maupeou Emil C. Lupu AAML 74 67 0 30 Sep 2018
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression Yiren Zhao Ilia Shumailov Robert D. Mullins Ross J. Anderson AAML 82 43 0 29 Sep 2018
Adversarial Attacks and Defences: A Survey Anirban Chakraborty Manaar Alam Vishal Dey Anupam Chattopadhyay Debdeep Mukhopadhyay AAML OOD 148 683 0 28 Sep 2018
Scenic: A Language for Scenario Specification and Scene Generation Daniel J. Fremont T. Dreossi Shromona Ghosh Xiangyu Yue Alberto L. Sangiovanni-Vincentelli Sanjit A. Seshia 78 263 0 25 Sep 2018
Fast Geometrically-Perturbed Adversarial Faces Ali Dabouei Sobhan Soleymani J. Dawson Nasser M. Nasrabadi CVBM AAML 64 65 0 24 Sep 2018
On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces Chia-Yi Hsu Pei-Hsuan Lu Pin-Yu Chen Chia-Mu Yu AAML 70 1 0 24 Sep 2018
Low Frequency Adversarial Perturbation Chuan Guo Jared S. Frank Kilian Q. Weinberger AAML 68 168 0 24 Sep 2018
Adversarial Recommendation: Attack of the Learned Fake Users Konstantina Christakopoulou A. Banerjee AAML 47 12 0 21 Sep 2018
Playing the Game of Universal Adversarial Perturbations Julien Perolat Mateusz Malinowski Bilal Piot Olivier Pietquin AAML 69 25 0 20 Sep 2018
Generating 3D Adversarial Point Clouds Chong Xiang C. Qi Yue Liu 3DPC 117 294 0 19 Sep 2018
Model-Protected Multi-Task Learning Jian Liang Ziqi Liu Jiayu Zhou Xiaoqian Jiang Changshui Zhang Fei Wang 61 13 0 18 Sep 2018
Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches Yuezun Li Xiao Bian Ming-Ching Chang Siwei Lyu AAML ObjD 78 31 0 16 Sep 2018
Robust Adversarial Perturbation on Deep Proposal-based Models Yuezun Li Dan Tian Ming-Ching Chang Xiao Bian Siwei Lyu AAML 72 106 0 16 Sep 2018
Query-Efficient Black-Box Attack by Active Learning Pengcheng Li Jinfeng Yi Lijun Zhang AAML MLAU 73 55 0 13 Sep 2018
Adversarial Examples: Opportunities and Challenges Jiliang Zhang Chen Li AAML 57 234 0 13 Sep 2018
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions Yusuke Tsuzuku Issei Sato AAML 82 62 0 11 Sep 2018
Certified Adversarial Robustness with Additive Noise Bai Li Changyou Chen Wenlin Wang Lawrence Carin AAML 117 350 0 10 Sep 2018
Towards Query Efficient Black-box Attacks: An Input-free Perspective Yali Du Meng Fang Jinfeng Yi Jun Cheng Dacheng Tao AAML 71 21 0 09 Sep 2018
Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval Zhedong Zheng Liang Zheng Yi Yang Zhilan Hu AAML 75 24 0 07 Sep 2018
Bridging machine learning and cryptography in defence against adversarial attacks O. Taran Shideh Rezaeifar Svyatoslav Voloshynovskiy AAML 57 22 0 05 Sep 2018
Adversarial Attack Type I: Cheat Classifiers by Significant Changes Sanli Tang Xiaolin Huang Mingjian Chen Chengjin Sun J. Yang AAML 69 2 0 03 Sep 2018
MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks Siwakorn Srisakaokul Yuhao Zhang Zexuan Zhong Wei Yang Tao Xie Bo Li AAML 87 19 0 31 Aug 2018
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation C. Liao Haoti Zhong Anna Squicciarini Sencun Zhu David J. Miller SILM 100 317 0 30 Aug 2018
Analysis of adversarial attacks against CNN-based image forgery detectors Diego Gragnaniello Francesco Marra Giovanni Poggi L. Verdoliva AAML 44 31 0 25 Aug 2018
Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection Mahdieh Abbasi Arezoo Rajabi A. Mozafari R. Bobba Christian Gagné AAML 74 9 0 21 Aug 2018
Reinforcement Learning for Autonomous Defence in Software-Defined Networking Yi Han Benjamin I. P. Rubinstein Tamas Abraham T. Alpcan O. Vel S. Erfani David Hubczenko C. Leckie Paul Montague AAML 55 69 0 17 Aug 2018
Mitigation of Adversarial Attacks through Embedded Feature Selection Ziyi Bao Luis Muñoz-González Emil C. Lupu AAML 44 1 0 16 Aug 2018
Distributionally Adversarial Attack T. Zheng Changyou Chen K. Ren OOD 101 123 0 16 Aug 2018