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
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art P. Williams Ke Li AAML 27 2 0 07 Mar 2022
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training Pervaiz Iqbal Khan Shoaib Ahmed Siddiqui Imran Razzak Andreas Dengel Sheraz Ahmed 21 3 0 03 Mar 2022
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation Miquel Ferriol Galmés Krzysztof Rusek José Suárez-Varela Shihan Xiao Xiangle Cheng Pere Barlet-Ros A. Cabellos-Aparicio GNN MoE 30 38 0 28 Feb 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey M. A. Ramírez Song-Kyoo Kim H. A. Hamadi Ernesto Damiani Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 25 37 0 21 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 54 16 0 15 Feb 2022
Adversarial Attacks and Defense Methods for Power Quality Recognition Jiwei Tian Buhong Wang Jing Li Zhen Wang Mete Ozay AAML 28 0 0 11 Feb 2022
Are Transformers More Robust? Towards Exact Robustness Verification for Transformers B. Liao Chih-Hong Cheng Hasan Esen Alois Knoll AAML 26 1 0 08 Feb 2022
Pixle: a fast and effective black-box attack based on rearranging pixels Jary Pomponi Simone Scardapane A. Uncini AAML 22 32 0 04 Feb 2022
Smoothed Embeddings for Certified Few-Shot Learning Mikhail Aleksandrovich Pautov Olesya Kuznetsova Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets 47 5 0 02 Feb 2022
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 38 14 0 31 Jan 2022
Rank List Sensitivity of Recommender Systems to Interaction Perturbations Sejoon Oh Berk Ustun Julian McAuley Srijan Kumar 32 34 0 29 Jan 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 46 38 0 19 Jan 2022
Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness Hao Yang Min Wang Zhengfei Yu Yun Zhou OOD AAML 24 3 0 01 Jan 2022
Invertible Image Dataset Protection Kejiang Chen Xianhan Zeng Qichao Ying Sheng Li Zhenxing Qian Xinpeng Zhang 33 7 0 29 Dec 2021
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification A. Ćiprijanović Diana Kafkes Gregory F. Snyder F. Sánchez G. Perdue K. Pedro Brian D. Nord Sandeep Madireddy Stefan M. Wild AAML 42 15 0 28 Dec 2021
Parameter identifiability of a deep feedforward ReLU neural network Joachim Bona-Pellissier François Bachoc François Malgouyres 46 15 0 24 Dec 2021
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review F. Giuste Wenqi Shi Yuanda Zhu Tarun Naren Monica Isgut Ying Sha L. Tong Mitali S. Gupte May D. Wang 36 73 0 23 Dec 2021
Scope and Sense of Explainability for AI-Systems Anastasia-Maria Leventi-Peetz T. Östreich Werner Lennartz Kai Weber 14 5 0 20 Dec 2021
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal Yucheng Shi Yahong Han Yu-an Tan Xiaohui Kuang 50 30 0 07 Dec 2021
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis Yu Feng Benteng Ma Jing Zhang Shanshan Zhao Yong-quan Xia Dacheng Tao AAML 49 84 0 02 Dec 2021
Human Imperceptible Attacks and Applications to Improve Fairness Xinru Hua Huanzhong Xu Jose H. Blanchet V. Nguyen AAML 27 3 0 30 Nov 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 70 81 0 20 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 30 0 0 18 Nov 2021
Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash Lukas Struppek Dominik Hintersdorf Daniel Neider Kristian Kersting MIACV 21 47 0 12 Nov 2021
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization Shengcai Liu Ning Lu W. Hong Chao Qian Ke Tang AAML 22 15 0 02 Nov 2021
Amicable examples for informed source separation Naoya Takahashi Yuki Mitsufuji AAML 33 1 0 11 Oct 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble Yihao Wang AAML UQCV 17 1 0 07 Oct 2021
Shifting Capsule Networks from the Cloud to the Deep Edge Miguel Costa Diogo Costa T. Gomes Sandro Pinto 34 5 0 06 Oct 2021
Adversarial defenses via a mixture of generators Maciej Żelaszczyk Jacek Mańdziuk AAML 13 0 0 05 Oct 2021
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns Prasanth Buddareddygari Travis Zhang Yezhou Yang Yi Ren AAML 37 13 0 16 Sep 2021
Adversarial Bone Length Attack on Action Recognition Nariki Tanaka Hiroshi Kera K. Kawamoto AAML 27 13 0 13 Sep 2021
IFBiD: Inference-Free Bias Detection Ignacio Serna Daniel DeAlcala Aythami Morales Julian Fierrez J. Ortega-Garcia CVBM 39 11 0 09 Sep 2021
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System Michael Karnes Shehan Perera S. Adhikari Alper Yilmaz 20 7 0 08 Sep 2021
Segmentation Fault: A Cheap Defense Against Adversarial Machine Learning Doha Al Bared M. Nassar AAML 16 1 0 31 Aug 2021
Dead Pixel Test Using Effective Receptive Field Bum Jun Kim Hyeyeon Choi Hyeonah Jang Dong Gu Lee Wonseok Jeong Sang Woo Kim 27 25 0 31 Aug 2021
Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms Albert Jiménez Sanfiz Mohamed Akrout OOD AAML 25 8 0 30 Aug 2021
Physical Adversarial Attacks on an Aerial Imagery Object Detector Andrew Du Bo Chen Tat-Jun Chin Yee Wei Law Michele Sasdelli Ramesh Rajasegaran Dillon Campbell AAML 33 60 0 26 Aug 2021
Are socially-aware trajectory prediction models really socially-aware? Saeed Saadatnejad Mohammadhossein Bahari Pedram J. Khorsandi Mohammad Saneian Seyed-Mohsen Moosavi-Dezfooli Alexandre Alahi AAML 34 42 0 24 Aug 2021
ASAT: Adaptively Scaled Adversarial Training in Time Series Zhiyuan Zhang Wei Li Ruihan Bao Keiko Harimoto Hao Sun Xu Sun AI4TS 32 5 0 20 Aug 2021
On the Robustness of Domain Adaption to Adversarial Attacks Liyuan Zhang Yuhang Zhou Lei Zhang OOD AAML 10 2 0 04 Aug 2021
AdvRush: Searching for Adversarially Robust Neural Architectures J. Mok Byunggook Na Hyeokjun Choe Sungroh Yoon OOD AAML 24 44 0 03 Aug 2021
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack Reek Majumder S. Khan Fahim Ahmed Zadid Khan Frank Ngeni G. Comert Judith Mwakalonge Dimitra Michalaka M. Chowdhury AAML 21 13 0 02 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 41 236 0 01 Aug 2021
Improved Text Classification via Contrastive Adversarial Training Lin Pan Chung-Wei Hang Avirup Sil Saloni Potdar AAML 28 86 0 21 Jul 2021
Discriminator-Free Generative Adversarial Attack Shaohao Lu Yuqiao Xian Ke Yan Yi Hu Xing Sun Xiaowei Guo Feiyue Huang Weishi Zheng AAML GAN 35 20 0 20 Jul 2021
Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices Tao Bai Jinqi Luo Jun Zhao AAML 31 30 0 29 Jun 2021
The Feasibility and Inevitability of Stealth Attacks I. Tyukin D. Higham Alexander Bastounis Eliyas Woldegeorgis Alexander N. Gorban AAML 32 19 0 26 Jun 2021
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems Giovanni Apruzzese M. Andreolini Luca Ferretti Mirco Marchetti M. Colajanni AAML 39 105 0 17 Jun 2021
Entropy-based Logic Explanations of Neural Networks Pietro Barbiero Gabriele Ciravegna Francesco Giannini Pietro Lio Marco Gori S. Melacci FAtt XAI 30 78 0 12 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 13 23 0 11 Jun 2021