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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
TEAM: An Taylor Expansion-Based Method for Generating Adversarial Examples Yaguan Qian Xi-Ming Zhang Wassim Swaileh Li Wei Bin Wang Jian-Hai Chen Wujie Zhou Jing-Sheng Lei AAML 22 0 0 23 Jan 2020
Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP Ying Xu Xu Zhong Antonio Jimeno Yepes Jey Han Lau AAML 63 10 0 22 Jan 2020
GhostImage: Remote Perception Attacks against Camera-based Image Classification Systems Yanmao Man Ming Li Ryan M. Gerdes AAML 85 8 0 21 Jan 2020
Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant Shayan Aziznejad Harshit Gupta Joaquim Campos M. Unser 75 36 0 17 Jan 2020
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks F. Behnia Ali Mirzaeian Mohammad Sabokrou S. Manoj T. Mohsenin Khaled N. Khasawneh Liang Zhao Houman Homayoun Avesta Sasan AAML 46 15 0 16 Jan 2020
The gap between theory and practice in function approximation with deep neural networks Ben Adcock N. Dexter 73 95 0 16 Jan 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie Yang Xiaolin Huang AAML 112 105 0 16 Jan 2020
Advbox: a toolbox to generate adversarial examples that fool neural networks Dou Goodman Xin Hao Yang Wang Yuesheng Wu Junfeng Xiong Huan Zhang AAML 138 55 0 13 Jan 2020
Sparse Black-box Video Attack with Reinforcement Learning Xingxing Wei Huanqian Yan Yue Liu AAML 115 51 0 11 Jan 2020
ReluDiff: Differential Verification of Deep Neural Networks Brandon Paulsen Jingbo Wang Chao Wang 167 54 0 10 Jan 2020
Transferability of Adversarial Examples to Attack Cloud-based Image Classifier Service Dou Goodman SILM AAML 72 10 0 08 Jan 2020
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius Runtian Zhai Chen Dan Di He Huan Zhang Boqing Gong Pradeep Ravikumar Cho-Jui Hsieh Liwei Wang OOD AAML 111 178 0 08 Jan 2020
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations Lin Wang Wonjune Cho Kuk-Jin Yoon AAML 79 25 0 06 Jan 2020
Generating Semantic Adversarial Examples via Feature Manipulation Shuo Wang Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen Tianle Chen AAML 83 12 0 06 Jan 2020
Empirical Studies on the Properties of Linear Regions in Deep Neural Networks Xiao Zhang Dongrui Wu 58 38 0 04 Jan 2020
Auditing and Debugging Deep Learning Models via Decision Boundaries: Individual-level and Group-level Analysis Roozbeh Yousefzadeh D. O’Leary AAML FAtt 44 5 0 03 Jan 2020
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy Vahid Mirjalili S. Raschka Arun Ross PICV CVBM 94 104 0 02 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 96 82 0 02 Jan 2020
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense Meng Jianhai Su Jason M. O'Kane Pooyan Jamshidi AAML 57 7 0 02 Jan 2020
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient Ling Liang Xing Hu Lei Deng Yujie Wu Guoqi Li Yufei Ding Peng Li Yuan Xie AAML 122 63 0 01 Jan 2020
Exploiting the Sensitivity of $L_2$ Adversarial Examples to Erase-and-Restore F. Zuo Qiang Zeng AAML 20 1 0 01 Jan 2020
Quantum Adversarial Machine Learning Sirui Lu L. Duan D. Deng AAML 115 102 0 31 Dec 2019
Defending from adversarial examples with a two-stream architecture Hao Ge X. Tu M. Xie Zheng Ma AAML 20 1 0 30 Dec 2019
Benchmarking Adversarial Robustness Yinpeng Dong Qi-An Fu Xiao Yang Tianyu Pang Hang Su Zihao Xiao Jun Zhu AAML 108 36 0 26 Dec 2019
Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures S. Bagchi Vaneet Aggarwal Somali Chaterji F. Douglis Aly El Gamal ... K. Marais Prateek Mittal Shaoshuai Mou Xiaokang Qiu G. Scutari AI4CE 137 1 0 25 Dec 2019
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 122 528 0 23 Dec 2019
T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack Wei Ping Hengzhi Pei Boyuan Pan Han Liu Shuohang Wang Yangqiu Song AAML 69 6 0 22 Dec 2019
Measuring Dataset Granularity Huayu Chen Zeqi Gu D. Mahajan Laurens van der Maaten Serge J. Belongie Ser-Nam Lim 75 13 0 21 Dec 2019
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation Yang He Shadi Rahimian Bernt Schiele Mario Fritz MIACV 92 52 0 20 Dec 2019
Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball Andrew Elliott Stephen Law Chris Russell AAML 55 4 0 19 Dec 2019
$n$ -ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 46 6 0 19 Dec 2019
APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection A. Braunegg Amartya Chakraborty Michael Krumdick Nicole Lape Sara Leary Keith Manville Elizabeth M. Merkhofer Laura Strickhart Matthew Walmer AAML 71 47 0 17 Dec 2019
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura T. Bremer AAML 69 44 0 16 Dec 2019
DAmageNet: A Universal Adversarial Dataset Sizhe Chen Xiaolin Huang Zhengbao He Chengjin Sun AAML 63 9 0 16 Dec 2019
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance Mahmoud Afifi M. Brown AAML 84 115 0 15 Dec 2019
Potential adversarial samples for white-box attacks Amir Nazemi Paul Fieguth AAML 42 18 0 13 Dec 2019
Gabor Layers Enhance Network Robustness Juan C. Pérez Motasem Alfarra Guillaume Jeanneret Adel Bibi Ali K. Thabet Guohao Li Pablo Arbelaez AAML 57 18 0 11 Dec 2019
Detecting and Correcting Adversarial Images Using Image Processing Operations H. Nguyen Minoru Kuribayashi Junichi Yamagishi Isao Echizen AAML 55 1 0 11 Dec 2019
Towards a Robust Classifier: An MDL-Based Method for Generating Adversarial Examples B. Asadi Vijay Varadharajan AAML 43 3 0 11 Dec 2019
Statistically Robust Neural Network Classification Benjie Wang Stefan Webb Tom Rainforth OOD AAML 83 19 0 10 Dec 2019
Appending Adversarial Frames for Universal Video Attack Zhikai Chen Lingxi Xie Shanmin Pang Yong He Qi Tian AAML 70 34 0 10 Dec 2019
Amora: Black-box Adversarial Morphing Attack Run Wang Felix Juefei Xu Qing Guo Yihao Huang Xiaofei Xie Lei Ma Yang Liu AAML 44 47 0 09 Dec 2019
Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks Y. Tan Yuval Elovici Alexander Binder AAML 84 3 0 08 Dec 2019
An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness Adam Noack Isaac Ahern Dejing Dou Boyang Albert Li OOD AAML 158 10 0 07 Dec 2019
Principal Component Properties of Adversarial Samples Malhar Jere Sandro Herbig Christine H. Lind F. Koushanfar 3DPC AAML 35 7 0 07 Dec 2019
Generating Anthropomorphic Phantoms Using Fully Unsupervised Deformable Image Registration with Convolutional Neural Networks Junyu Chen Ye Li Yong Du Eric C. Frey MedIm 41 0 0 06 Dec 2019
Scratch that! An Evolution-based Adversarial Attack against Neural Networks Malhar Jere Loris Rossi Briland Hitaj Gabriela F. Cretu-Ciocarlie Giacomo Boracchi F. Koushanfar AAML 79 18 0 05 Dec 2019
Walking on the Edge: Fast, Low-Distortion Adversarial Examples Hanwei Zhang Yannis Avrithis Teddy Furon Laurent Amsaleg AAML 50 46 0 04 Dec 2019
A Survey of Black-Box Adversarial Attacks on Computer Vision Models Siddhant Bhambri Sumanyu Muku Avinash Tulasi Arun Balaji Buduru AAML VLM 72 79 0 03 Dec 2019
Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs Zihan Liu Lubin Meng Xiao Zhang Weili Fang Dongrui Wu AAML 80 39 0 03 Dec 2019