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
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 39 13 0 08 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 40 389 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 X. Lin AAML 18 160 0 05 Aug 2018
Adversarial Open-World Person Re-Identification Xiang Li Ancong Wu Weishi Zheng 22 43 0 27 Jul 2018
Harmonic Adversarial Attack Method Wen Heng Shuchang Zhou Tingting Jiang AAML 14 6 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 37 346 0 12 Jul 2018
With Friends Like These, Who Needs Adversaries? Saumya Jetley Nicholas A. Lord Philip Torr AAML 21 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 23 2,004 0 10 Jul 2018
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks Saeid Asgari Taghanaki A. Das Ghassan Hamarneh MedIm 35 52 0 09 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 33 18 0 29 Jun 2018
SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity A. Abobakr M. Hossny S. Nahavandi 14 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 22 98 0 21 Jun 2018
Hierarchical interpretations for neural network predictions Chandan Singh W. James Murdoch Bin Yu 31 145 0 14 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 21 289 0 05 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks Jan Svoboda Jonathan Masci Federico Monti M. Bronstein Leonidas J. Guibas AAML GNN 33 41 0 31 May 2018
Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders Partha Ghosh Arpan Losalka Michael J. Black AAML 21 77 0 31 May 2018
Sequential Attacks on Agents for Long-Term Adversarial Goals E. Tretschk Seong Joon Oh Mario Fritz OnRL 329 47 1 31 May 2018
Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization A. Bose P. Aarabi AAML 19 89 0 31 May 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 24 16 0 24 May 2018
A Simple Cache Model for Image Recognition Emin Orhan VLM 22 30 0 21 May 2018
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models Pouya Samangouei Maya Kabkab Rama Chellappa AAML GAN 29 1,166 0 17 May 2018
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary Byeongho Heo Minsik Lee Sangdoo Yun J. Choi AAML 26 146 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 39 61 0 14 May 2018
Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing Jingyi Wang Jun Sun Peixin Zhang Xinyu Wang AAML 21 41 0 14 May 2018
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar A. Madry OOD AAML 25 785 0 30 Apr 2018
Formal Security Analysis of Neural Networks using Symbolic Intervals Shiqi Wang Kexin Pei Justin Whitehouse Junfeng Yang Suman Jana AAML 25 473 0 28 Apr 2018
Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning Mahdieh Abbasi Arezoo Rajabi Christian Gagné R. Bobba OODD 30 6 0 24 Apr 2018
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 46 39 0 23 Apr 2018
VectorDefense: Vectorization as a Defense to Adversarial Examples V. Kabilan Brandon L. Morris Anh Totti Nguyen AAML 22 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 19 2 0 22 Apr 2018
ADef: an Iterative Algorithm to Construct Adversarial Deformations Rima Alaifari Giovanni S. Alberti Tandri Gauksson AAML 19 96 0 20 Apr 2018
Robustness via Deep Low-Rank Representations Amartya Sanyal Varun Kanade Philip Torr P. Dokania OOD 27 16 0 19 Apr 2018
Semantic Adversarial Deep Learning S. Seshia S. Jha T. Dreossi AAML SILM 27 90 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 165 424 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 11 38 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 25 230 0 15 Apr 2018
Task-Driven Super Resolution: Object Detection in Low-resolution Images Muhammad Haris Gregory Shakhnarovich Norimichi Ukita 35 172 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 8 30 0 28 Mar 2018
Adversarial Defense based on Structure-to-Signal Autoencoders Joachim Folz Sebastián M. Palacio Jörn Hees Damian Borth Andreas Dengel AAML 26 32 0 21 Mar 2018
Semantic Adversarial Examples Hossein Hosseini Radha Poovendran GAN AAML 31 196 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 41 29 0 14 Mar 2018
Deep Dictionary Learning: A PARametric NETwork Approach Shahin Mahdizadehaghdam Ashkan Panahi Hamid Krim Liyi Dai 32 63 0 11 Mar 2018
Sparse Adversarial Perturbations for Videos Xingxing Wei Jun Zhu Hang Su AAML 14 138 0 07 Mar 2018
Protecting JPEG Images Against Adversarial Attacks Aaditya (Adi) Prakash N. Moran Solomon Garber Antonella DiLillo J. Storer AAML 21 34 0 02 Mar 2018
Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples Jake Zhao Kyunghyun Cho AAML 24 20 0 26 Feb 2018
Adversarial vulnerability for any classifier Alhussein Fawzi Hamza Fawzi Omar Fawzi AAML 33 248 0 23 Feb 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness Ziang Yan Yiwen Guo Changshui Zhang AAML 38 109 0 23 Feb 2018
Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks Gaurav Goswami Nalini Ratha Akshay Agarwal Richa Singh Mayank Vatsa AAML 18 165 0 22 Feb 2018
Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch João Monteiro Isabela Albuquerque Zahid Akhtar T. Falk AAML 41 29 0 21 Feb 2018
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections Xin Zhang Armando Solar-Lezama Rishabh Singh FAtt 21 63 0 21 Feb 2018