One pixel attack for fooling deep neural networks

24 October 2017

Jiawei Su

Danilo Vasconcellos Vargas

Kouichi Sakurai

AAML

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Papers citing "One pixel attack for fooling deep neural networks"

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Title
Block-wise Image Transformation with Secret Key for Adversarially Robust Defense Maungmaung Aprilpyone Hitoshi Kiya 29 57 0 02 Oct 2020
Generating Adversarial yet Inconspicuous Patches with a Single Image Jinqi Luo Tao Bai Jun Zhao AAML 27 6 0 21 Sep 2020
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 46 62 0 11 Sep 2020
Defending Against Multiple and Unforeseen Adversarial Videos Shao-Yuan Lo Vishal M. Patel AAML 31 23 0 11 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition Ping Liu Yuewei Lin Zibo Meng Lu Lu Weihong Deng Qiufeng Wang Yi Yang 23 26 0 26 Aug 2020
From Attack to Protection: Leveraging Watermarking Attack Network for Advanced Add-on Watermarking Seung-Hun Nam In-Jae Yu Seung-Min Mun Heung-Kyu Lee Wonhyuk Ahn AAML 21 4 0 14 Aug 2020
Optimizing Information Loss Towards Robust Neural Networks Philip Sperl Konstantin Böttinger AAML 21 3 0 07 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 32 73 0 07 Aug 2020
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs Ruigang Fu Qingyong Hu Xiaohu Dong Yulan Guo Yinghui Gao Biao Li FAtt 24 266 0 05 Aug 2020
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao Xiaoguang Han AAML 17 86 0 05 Aug 2020
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters Haoyun Liang Zhihao Ouyang Yuyuan Zeng Hang Su Zihao He Shutao Xia Jun Zhu Bo Zhang 16 47 0 16 Jul 2020
Odyssey: Creation, Analysis and Detection of Trojan Models Marzieh Edraki Nazmul Karim Nazanin Rahnavard Ajmal Mian M. Shah AAML 28 13 0 16 Jul 2020
Probabilistic Jacobian-based Saliency Maps Attacks Théo Combey António Loison Maxime Faucher H. Hajri AAML 23 19 0 12 Jul 2020
DeepAbstract: Neural Network Abstraction for Accelerating Verification P. Ashok Vahid Hashemi Jan Křetínský S. Mohr 19 49 0 24 Jun 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness Mohammadamin Tavakoli Forest Agostinelli Pierre Baldi AAML FAtt 36 39 0 16 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 42 593 0 16 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 26 103 0 12 Jun 2020
Graph Neural Networks for Motion Planning Arbaaz Khan Alejandro Ribeiro Vijay Kumar Anthony G. Francis 27 30 0 11 Jun 2020
Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense Jay N. Paranjape R. Dubey Vijendran V. Gopalan AAML 31 2 0 02 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 30 50 0 30 May 2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses Yaxin Li Wei Jin Han Xu Jiliang Tang AAML 32 131 0 13 May 2020
Class-Aware Domain Adaptation for Improving Adversarial Robustness Xianxu Hou Jingxin Liu Bolei Xu Xiaolong Wang Bozhi Liu Guoping Qiu OOD AAML 43 8 0 10 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 49 371 0 30 Apr 2020
Transferable Perturbations of Deep Feature Distributions Nathan Inkawhich Kevin J. Liang Lawrence Carin Yiran Chen AAML 30 84 0 27 Apr 2020
Learning to fool the speaker recognition Jiguo Li Xinfeng Zhang Jizheng Xu Li Zhang Y. Wang Siwei Ma Wen Gao AAML 30 21 0 07 Apr 2020
Universal Adversarial Perturbations Generative Network for Speaker Recognition Jiguo Li Xinfeng Zhang Chuanmin Jia Jizheng Xu Li Zhang Y. Wang Siwei Ma Wen Gao AAML 28 45 0 07 Apr 2020
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents Richard Meyes Moritz Schneider Tobias Meisen 28 2 0 07 Apr 2020
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations Richard Meyes Constantin Waubert de Puiseau Andres Felipe Posada-Moreno Tobias Meisen AI4CE 30 21 0 02 Apr 2020
GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions Zebin Yang Aijun Zhang Agus Sudjianto FAtt 19 126 0 16 Mar 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 163 113 0 05 Mar 2020
Deep Neural Network Perception Models and Robust Autonomous Driving Systems M. Shafiee Ahmadreza Jeddi Amir Nazemi Paul Fieguth A. Wong OOD 37 15 0 04 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 72 63 0 02 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 908 0 02 Mar 2020
Adversarial Ranking Attack and Defense Mo Zhou Zhenxing Niu Le Wang Qilin Zhang G. Hua 36 38 0 26 Feb 2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets Dongxian Wu Yisen Wang Shutao Xia James Bailey Xingjun Ma AAML SILM 25 310 0 14 Feb 2020
Hardware Trust and Assurance through Reverse Engineering: A Survey and Outlook from Image Analysis and Machine Learning Perspectives Ulbert J. Botero Ronald Wilson Hangwei Lu Mir Tanjidur Rahman Mukhil A. Mallaiyan F. Ganji Navid Asadizanjani M. Tehranipoor D. Woodard Domenic Forte 4 36 0 11 Feb 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie Yang Xiaolin Huang AAML 31 104 0 16 Jan 2020
Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring Sibylle Hess W. Duivesteijn Decebal Constantin Mocanu 25 12 0 07 Jan 2020
Adversarial Example Generation using Evolutionary Multi-objective Optimization Takahiro Suzuki Shingo Takeshita S. Ono AAML 19 22 0 30 Dec 2019
Detecting Adversarial Attacks On Audiovisual Speech Recognition Pingchuan Ma Stavros Petridis Maja Pantic AAML 21 19 0 18 Dec 2019
Disentanglement based Active Learning S. SilpaV K. Adarsh S. Sumitra DRL 21 0 0 15 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 14 18 0 05 Dec 2019
Generate (non-software) Bugs to Fool Classifiers Hiromu Yakura Youhei Akimoto Jun Sakuma AAML 25 10 0 20 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 21 104 0 13 Nov 2019
Patch augmentation: Towards efficient decision boundaries for neural networks Marcus D. Bloice P. Roth Andreas Holzinger AAML 18 2 0 08 Nov 2019
Attacking Optical Flow Anurag Ranjan J. Janai Andreas Geiger Michael J. Black AAML 3DPC 19 87 0 22 Oct 2019
Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification Songxiang Liu Haibin Wu Hung-yi Lee Helen Meng AAML 36 65 0 19 Oct 2019
Probabilistic Verification and Reachability Analysis of Neural Networks via Semidefinite Programming Mahyar Fazlyab M. Morari George J. Pappas AAML 40 41 0 09 Oct 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations Ali Dabouei Sobhan Soleymani Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi AAML 104 19 0 08 Oct 2019