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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"

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Title
Black-Box Decision based Adversarial Attack with Symmetric $α$ -stable Distribution Vignesh Srinivasan E. Kuruoglu K. Müller Wojciech Samek Shinichi Nakajima AAML 59 7 0 11 Apr 2019
Black-box Adversarial Attacks on Video Recognition Models Linxi Jiang Xingjun Ma Shaoxiang Chen James Bailey Yu-Gang Jiang AAML MLAU 76 147 0 10 Apr 2019
Towards Analyzing Semantic Robustness of Deep Neural Networks Abdullah Hamdi Guohao Li AAML 64 17 0 09 Apr 2019
Adversarial Audio: A New Information Hiding Method and Backdoor for DNN-based Speech Recognition Models Yehao Kong Jiliang Zhang 52 28 0 08 Apr 2019
JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks N. Benjamin Erichson Z. Yao Michael W. Mahoney AAML 69 24 0 07 Apr 2019
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack Jianbo Chen Michael I. Jordan Martin J. Wainwright AAML 119 671 0 03 Apr 2019
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks Aamir Mustafa Salman Khan Munawar Hayat Roland Göcke Jianbing Shen Ling Shao AAML 64 152 0 01 Apr 2019
On the Vulnerability of CNN Classifiers in EEG-Based BCIs Xiao Zhang Dongrui Wu AAML 73 82 0 31 Mar 2019
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks Francesco Croce Jonas Rauber Matthias Hein AAML 65 31 0 27 Mar 2019
A geometry-inspired decision-based attack Yujia Liu Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 77 54 0 26 Mar 2019
Defending against Whitebox Adversarial Attacks via Randomized Discretization Yuchen Zhang Percy Liang AAML 79 76 0 25 Mar 2019
Learning from Adversarial Features for Few-Shot Classification Wei Shen Ziqiang Shi Jun Sun 49 9 0 25 Mar 2019
Robust Neural Networks using Randomized Adversarial Training Alexandre Araujo Laurent Meunier Rafael Pinot Benjamin Négrevergne AAML OOD 48 36 0 25 Mar 2019
A Formalization of Robustness for Deep Neural Networks T. Dreossi Shromona Ghosh Alberto L. Sangiovanni-Vincentelli Sanjit A. Seshia GAN 71 30 0 24 Mar 2019
Variational Inference with Latent Space Quantization for Adversarial Resilience Vinay Kyatham P. PrathoshA. Tarun Kumar Yadav Deepak Mishra Dheeraj Mundhra AAML 48 3 0 24 Mar 2019
Adversarial camera stickers: A physical camera-based attack on deep learning systems Juncheng Billy Li Frank R. Schmidt J. Zico Kolter AAML 85 168 0 21 Mar 2019
On the Robustness of Deep K-Nearest Neighbors Chawin Sitawarin David Wagner AAML OOD 140 58 0 20 Mar 2019
Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems H. Abdullah Washington Garcia Christian Peeters Patrick Traynor Kevin R. B. Butler Joseph N. Wilson AAML 72 168 0 18 Mar 2019
Generating Adversarial Examples With Conditional Generative Adversarial Net Ping Yu Kaitao Song Jianfeng Lu AAML GAN 43 23 0 18 Mar 2019
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models Paul Michel Xian Li Graham Neubig J. Pino AAML 89 136 0 15 Mar 2019
Attribution-driven Causal Analysis for Detection of Adversarial Examples Susmit Jha Sunny Raj S. Fernandes Sumit Kumar Jha S. Jha Gunjan Verma B. Jalaeian A. Swami AAML 75 17 0 14 Mar 2019
Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar A. Akbarinia K. Gegenfurtner DRL 40 5 0 12 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks Ke Sun Piotr Koniusz Zhen Wang GNN 60 34 0 11 Mar 2019
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints Xing Hu Ling Liang Lei Deng Shuangchen Li Xinfeng Xie Yu Ji Yufei Ding Chang Liu T. Sherwood Yuan Xie AAML MLAU 68 36 0 10 Mar 2019
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search Abhimanyu Dubey Laurens van der Maaten Zeki Yalniz Yixuan Li D. Mahajan AAML 115 66 0 05 Mar 2019
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming Mahyar Fazlyab M. Morari George J. Pappas AAML 92 233 0 04 Mar 2019
A Fundamental Performance Limitation for Adversarial Classification Abed AlRahman Al Makdah Vaibhav Katewa Fabio Pasqualetti AAML 50 9 0 04 Mar 2019
PuVAE: A Variational Autoencoder to Purify Adversarial Examples Uiwon Hwang Jaewoo Park Hyemi Jang Sungroh Yoon N. Cho AAML 75 77 0 02 Mar 2019
Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors Ke Sun Zhanxing Zhu Zhouchen Lin AAML 76 18 0 28 Feb 2019
Adversarial Attack and Defense on Point Sets Jiancheng Yang Qiang Zhang Rongyao Fang Bingbing Ni Jinxian Liu Qi Tian 3DPC 112 125 0 28 Feb 2019
Verification of Non-Linear Specifications for Neural Networks Chongli Qin Krishnamurthy Dvijotham Dvijotham Brendan O'Donoghue Rudy Bunel Robert Stanforth Sven Gowal J. Uesato G. Swirszcz Pushmeet Kohli AAML 68 44 0 25 Feb 2019
Adversarial attacks hidden in plain sight Jan Philip Göpfert André Artelt H. Wersing Barbara Hammer AAML 46 17 0 25 Feb 2019
Visualization, Discriminability and Applications of Interpretable Saak Features Abinaya Manimaran T. Ramanathan Suya You C.-C. Jay Kuo FAtt 90 8 0 25 Feb 2019
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence Yi Han David Hubczenko Paul Montague O. Vel Tamas Abraham Benjamin I. P. Rubinstein C. Leckie T. Alpcan S. Erfani AAML 54 6 0 25 Feb 2019
A Deep, Information-theoretic Framework for Robust Biometric Recognition Renjie Xie Yanzhi Chen Yan Wo Qiao Wang OOD AAML 35 1 0 23 Feb 2019
On the Sensitivity of Adversarial Robustness to Input Data Distributions G. Ding Kry Yik-Chau Lui Xiaomeng Jin Luyu Wang Ruitong Huang OOD 64 60 0 22 Feb 2019
Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers Diego Gragnaniello Francesco Marra Giovanni Poggi L. Verdoliva AAML 35 30 0 20 Feb 2019
There are No Bit Parts for Sign Bits in Black-Box Attacks Abdullah Al-Dujaili Una-May O’Reilly AAML 116 20 0 19 Feb 2019
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 147 905 0 18 Feb 2019
Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces Mohammad Saidur Rahman Mohsen Imani Nate Mathews M. Wright AAML 86 81 0 18 Feb 2019
AuxBlocks: Defense Adversarial Example via Auxiliary Blocks Yueyao Yu Pengfei Yu Wenye Li AAML 18 6 0 18 Feb 2019
DeepFault: Fault Localization for Deep Neural Networks Hasan Ferit Eniser Simos Gerasimou A. Sen AAML 81 88 0 15 Feb 2019
Can Intelligent Hyperparameter Selection Improve Resistance to Adversarial Examples? Cody Burkard Brent Lagesse AAML SILM 28 1 0 14 Feb 2019
On instabilities of deep learning in image reconstruction - Does AI come at a cost? Vegard Antun F. Renna C. Poon Ben Adcock A. Hansen 69 610 0 14 Feb 2019
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples Kevin Roth Yannic Kilcher Thomas Hofmann AAML 80 176 0 13 Feb 2019
Examining Adversarial Learning against Graph-based IoT Malware Detection Systems Ahmed A. Abusnaina Aminollah Khormali Hisham Alasmary Jeman Park Afsah Anwar Ulku Meteriz Aziz Mohaisen AAML 45 5 0 12 Feb 2019
Towards a Robust Deep Neural Network in Texts: A Survey Wenqi Wang Benxiao Tang Run Wang Lina Wang Aoshuang Ye AAML 99 39 0 12 Feb 2019
Model Compression with Adversarial Robustness: A Unified Optimization Framework Shupeng Gui Haotao Wang Chen Yu Haichuan Yang Zhangyang Wang Ji Liu MQ 79 139 0 10 Feb 2019
Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis Danilo Vasconcellos Vargas Jiawei Su FAtt AAML 41 38 0 08 Feb 2019
A Comprehensive Overview of Biometric Fusion Maneet Singh Richa Singh Arun Ross 88 190 0 08 Feb 2019