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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
Out of the Black Box: Properties of deep neural networks and their applications Nizar Ouarti D. Carmona FAtt AAML 28 3 0 10 Aug 2018
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection Xiao Chen Chaoran Li Derui Wang S. Wen Jun Zhang Surya Nepal Yang Xiang K. Ren AAML 80 246 0 10 Aug 2018
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer Hsueh-Ti Derek Liu Michael Tao Chun-Liang Li Derek Nowrouzezahrai Alec Jacobson AAML 84 13 0 08 Aug 2018
Adversarial Vision Challenge Wieland Brendel Jonas Rauber Alexey Kurakin Nicolas Papernot Behar Veliqi M. Salathé Sharada Mohanty Matthias Bethge AAML 79 58 0 06 Aug 2018
Defense Against Adversarial Attacks with Saak Transform Sibo Song Yueru Chen Ngai-Man Cheung C.-C. Jay Kuo 69 24 0 06 Aug 2018
Gray-box Adversarial Training S. VivekB. Konda Reddy Mopuri R. Venkatesh Babu AAML 57 35 0 06 Aug 2018
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models D. Su Huan Zhang Hongge Chen Jinfeng Yi Pin-Yu Chen Yupeng Gao VLM 140 393 0 05 Aug 2018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability Kaidi Xu Sijia Liu Pu Zhao Pin-Yu Chen Huan Zhang Quanfu Fan Deniz Erdogmus Yanzhi Wang Xinyu Lin AAML 126 162 0 05 Aug 2018
ATMPA: Attacking Machine Learning-based Malware Visualization Detection Methods via Adversarial Examples Xinbo Liu Jiliang Zhang Yaping Lin He Li AAML 36 56 0 05 Aug 2018
Traits & Transferability of Adversarial Examples against Instance Segmentation & Object Detection Raghav Gurbaxani Shivank Mishra AAML 41 4 0 04 Aug 2018
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions Konda Reddy Mopuri P. Uppala R. Venkatesh Babu AAML 83 85 0 03 Aug 2018
Adversarial Open-World Person Re-Identification Xiang Li Ancong Wu Weishi Zheng 72 43 0 27 Jul 2018
Symbolic Execution for Deep Neural Networks D. Gopinath Kaiyuan Wang Mengshi Zhang C. Păsăreanu S. Khurshid AAML 81 54 0 27 Jul 2018
A general metric for identifying adversarial images S. Kumar AAML 26 0 0 26 Jul 2018
Effects of Degradations on Deep Neural Network Architectures Prasun Roy Subhankar Ghosh Saumik Bhattacharya Umapada Pal 84 137 0 26 Jul 2018
Simultaneous Adversarial Training - Learn from Others Mistakes Zukang Liao AAML GAN 50 4 0 21 Jul 2018
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors Andrew Ilyas Logan Engstrom Aleksander Madry MLAU AAML 104 375 0 20 Jul 2018
Physical Adversarial Examples for Object Detectors Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Florian Tramèr Atul Prakash Tadayoshi Kohno Basel Alomair AAML 107 473 0 20 Jul 2018
Harmonic Adversarial Attack Method Wen Heng Shuchang Zhou Tingting Jiang AAML 54 6 0 18 Jul 2018
Defend Deep Neural Networks Against Adversarial Examples via Fixed and Dynamic Quantized Activation Functions Adnan Siraj Rakin Jinfeng Yi Boqing Gong Deliang Fan AAML MQ 80 50 0 18 Jul 2018
Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach Minhao Cheng Thong Le Pin-Yu Chen Jinfeng Yi Huan Zhang Cho-Jui Hsieh AAML 112 348 0 12 Jul 2018
With Friends Like These, Who Needs Adversaries? Saumya Jetley Nicholas A. Lord Philip Torr AAML 116 70 0 11 Jul 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 201 2,074 0 10 Jul 2018
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks Saeid Asgari Taghanaki A. Das Ghassan Hamarneh MedIm 91 52 0 09 Jul 2018
Implicit Generative Modeling of Random Noise during Training for Adversarial Robustness Priyadarshini Panda Kaushik Roy AAML 50 4 0 05 Jul 2018
Local Gradients Smoothing: Defense against localized adversarial attacks Muzammal Naseer Salman H. Khan Fatih Porikli AAML 104 162 0 03 Jul 2018
Adversarial Robustness Toolbox v1.0.0 Maria-Irina Nicolae M. Sinn Minh-Ngoc Tran Beat Buesser Ambrish Rawat ... Nathalie Baracaldo Bryant Chen Heiko Ludwig Ian Molloy Ben Edwards AAML VLM 91 462 0 03 Jul 2018
Adversarial Perturbations Against Real-Time Video Classification Systems Shasha Li Ajaya Neupane S. Paul Chengyu Song S. Krishnamurthy Amit K. Roy-Chowdhury A. Swami AAML 93 121 0 02 Jul 2018
Adversarial Examples in Deep Learning: Characterization and Divergence Wenqi Wei Ling Liu Margaret Loper Stacey Truex Lei Yu Mehmet Emre Gursoy Yanzhao Wu AAML SILM 119 18 0 29 Jun 2018
A New Angle on L2 Regularization T. Tanay Lewis D. Griffin LLMSV 47 5 0 28 Jun 2018
Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning J. Dhaliwal S. Shintre AAML 49 15 0 27 Jun 2018
Customizing an Adversarial Example Generator with Class-Conditional GANs Shih-hong Tsai GAN AAML 60 4 0 27 Jun 2018
SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity A. Abobakr M. Hossny S. Nahavandi 28 4 0 24 Jun 2018
Detection based Defense against Adversarial Examples from the Steganalysis Point of View Jiayang Liu Weiming Zhang Yiwei Zhang Dongdong Hou Yujia Liu Hongyue Zha Nenghai Yu AAML 101 100 0 21 Jun 2018
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations T. Tanay Jerone T. A. Andrews Lewis D. Griffin 73 7 0 19 Jun 2018
Hierarchical interpretations for neural network predictions Chandan Singh W. James Murdoch Bin Yu 84 146 0 14 Jun 2018
Adversarial Attacks on Variational Autoencoders George Gondim-Ribeiro Pedro Tabacof Eduardo Valle AAML DRL 73 44 0 12 Jun 2018
Adversarial Attack on Graph Structured Data H. Dai Hui Li Tian Tian Xin Huang L. Wang Jun Zhu Le Song GNN AAML OOD 115 779 0 06 Jun 2018
Towards Dependability Metrics for Neural Networks Chih-Hong Cheng Georg Nührenberg Chung-Hao Huang Harald Ruess Hirotoshi Yasuoka 85 44 0 06 Jun 2018
DPatch: An Adversarial Patch Attack on Object Detectors Xin Liu Huanrui Yang Ziwei Liu Linghao Song Hai Helen Li Yiran Chen AAML ObjD 72 293 0 05 Jun 2018
An Explainable Adversarial Robustness Metric for Deep Learning Neural Networks Chirag Agarwal Bo Dong Dan Schonfeld A. Hoogs 50 2 0 05 Jun 2018
PAC-learning in the presence of evasion adversaries Daniel Cullina A. Bhagoji Prateek Mittal AAML 102 55 0 05 Jun 2018
Detecting Adversarial Examples via Key-based Network Pinlong Zhao Zhouyu Fu Ou Wu Q. Hu Jun Wang AAML GAN 59 8 0 02 Jun 2018
Interpreting Deep Learning: The Machine Learning Rorschach Test? Adam S. Charles AAML HAI AI4CE 105 9 0 01 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks Jan Svoboda Jonathan Masci Federico Monti M. Bronstein Leonidas Guibas AAML GNN 88 41 0 31 May 2018
Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders Partha Ghosh Arpan Losalka Michael J. Black AAML 74 78 0 31 May 2018
Sequential Attacks on Agents for Long-Term Adversarial Goals E. Tretschk Seong Joon Oh Mario Fritz OnRL 399 48 1 31 May 2018
Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization A. Bose P. Aarabi AAML 70 89 0 31 May 2018
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 116 1,786 0 30 May 2018
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization M. Alzantot Yash Sharma Supriyo Chakraborty Huan Zhang Cho-Jui Hsieh Mani B. Srivastava AAML 103 258 0 28 May 2018