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Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

2 January 2018

Papers citing "Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey"

50 / 462 papers shown

Title
Machine Learning for Security in Vehicular Networks: A Comprehensive Survey Anum Talpur M. Gurusamy 58 63 0 31 May 2021
Generating Adversarial Examples with Graph Neural Networks Florian Jaeckle M. P. Kumar GAN AAML 53 21 0 30 May 2021
Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations Mingfu Xue Yinghao Wu Zhiyu Wu Yushu Zhang Jian Wang Weiqiang Liu AAML 54 12 0 29 May 2021
DeepMoM: Robust Deep Learning With Median-of-Means Shih-Ting Huang Johannes Lederer FedML 74 6 0 28 May 2021
Deep neural network enabled corrective source term approach to hybrid analysis and modeling Sindre Stenen Blakseth Adil Rasheed T. Kvamsdal Omer San 87 26 0 24 May 2021
Probing the Effect of Selection Bias on Generalization: A Thought Experiment John K. Tsotsos Jun Luo CML 50 3 0 20 May 2021
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda AAML 72 8 0 09 May 2021
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors Deeksha Dangwal Vincent T. Lee Hyo Jin Kim Tianwei Shen M. Cowan ... Brandon Reagen Tim Sherwood Vasileios Balntas Armin Alaghi Eddy Ilg AAML 64 15 0 09 May 2021
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs Théo Lacombe Yuichi Ike Mathieu Carrière Frédéric Chazal Marc Glisse Yuhei Umeda 79 23 0 07 May 2021
Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model Ruoxi Qin Linyuan Wang Xing-yuan Chen Xuehui Du Bin Yan AAML 69 5 0 06 May 2021
This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks Adrian Hoffmann Claudio Fanconi Rahul Rade Jonas Köhler 71 63 0 05 May 2021
Physical world assistive signals for deep neural network classifiers -- neither defense nor attack Camilo Pestana Wei Liu D. Glance R. Owens Ajmal Mian AAML 25 0 0 03 May 2021
A Master Key Backdoor for Universal Impersonation Attack against DNN-based Face Verification Wei Guo B. Tondi Mauro Barni AAML 78 20 0 01 May 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison Ahmed Aldahdooh W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 239 128 0 01 May 2021
3D Adversarial Attacks Beyond Point Cloud Jinlai Zhang Lyujie Chen Binbin Liu Bojun Ouyang Qizhi Xie Jihong Zhu Weiming Li Yanmei Meng 3DPC 79 41 0 25 Apr 2021
Robust Certification for Laplace Learning on Geometric Graphs Matthew Thorpe Bao Wang OOD AAML 53 1 0 22 Apr 2021
Fashion-Guided Adversarial Attack on Person Segmentation Marc Treu Trung-Nghia Le H. Nguyen Junichi Yamagishi Isao Echizen AAML 63 13 0 17 Apr 2021
Gradient-based Adversarial Attacks against Text Transformers Chuan Guo Alexandre Sablayrolles Hervé Jégou Douwe Kiela SILM 165 248 0 15 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 105 67 0 09 Apr 2021
Universal Adversarial Training with Class-Wise Perturbations Philipp Benz Chaoning Zhang Adil Karjauv In So Kweon AAML 66 27 0 07 Apr 2021
Achieving Transparency Report Privacy in Linear Time Chien-Lun Chen L. Golubchik R. Pal 93 2 0 31 Mar 2021
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution Omer San Adil Rasheed T. Kvamsdal 93 54 0 26 Mar 2021
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack Ashkan Esmaeili Marzieh Edraki Nazanin Rahnavard M. Shah Ajmal Mian AAML 97 2 0 19 Mar 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 57 9 0 18 Mar 2021
Meta-Solver for Neural Ordinary Differential Equations Julia Gusak A. Katrutsa Talgat Daulbaev A. Cichocki Ivan Oseledets 70 2 0 15 Mar 2021
DAFAR: Defending against Adversaries by Feedback-Autoencoder Reconstruction Haowen Liu Ping Yi Hsiao-Ying Lin Jie Shi Weidong Qiu AAML 45 2 0 11 Mar 2021
Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection Ahmed Aldahdooh W. Hamidouche Olivier Déforges AAML 160 29 0 09 Mar 2021
Deep Learning for Android Malware Defenses: a Systematic Literature Review Yue Liu Chakkrit Tantithamthavorn Li Li Yepang Liu AAML 88 81 0 09 Mar 2021
Online Adversarial Attacks Andjela Mladenovic A. Bose Hugo Berard William L. Hamilton Simon Lacoste-Julien Pascal Vincent Gauthier Gidel AAML 66 10 0 02 Mar 2021
A Survey On Universal Adversarial Attack Chaoning Zhang Philipp Benz Chenguo Lin Adil Karjauv Jing Wu In So Kweon AAML 96 93 0 02 Mar 2021
Brain Programming is Immune to Adversarial Attacks: Towards Accurate and Robust Image Classification using Symbolic Learning Gerardo Ibarra-Vázquez Gustavo Olague Mariana Chan-Ley Cesar Puente C. Soubervielle-Montalvo AAML 40 13 0 01 Mar 2021
Uncertainty Quantification by Ensemble Learning for Computational Optical Form Measurements L. Hoffmann I. Fortmeier Clemens Elster UQCV 73 28 0 01 Mar 2021
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits Jiawang Bai Baoyuan Wu Yong Zhang Yiming Li Zhifeng Li Shutao Xia AAML 101 75 0 21 Feb 2021
Deep Gait Recognition: A Survey Alireza Sepas-Moghaddam Ali Etemad CVBM 110 184 0 18 Feb 2021
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis Fengting Li Xuankai Liu Xiaoli Zhang Qi Li Kun Sun Kang Li AAML 73 13 0 10 Feb 2021
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models Sahar Abdelnabi Mario Fritz AAML 48 7 0 09 Feb 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 67 52 0 09 Feb 2021
Adversarial Robustness Study of Convolutional Neural Network for Lumbar Disk Shape Reconstruction from MR images Jiasong Chen Linchen Qian Timur Urakov Weiyong Gu Liang Liang AAML OOD 50 13 0 04 Feb 2021
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice V. Kulkarni M. Gawali A. Kharat VLM 117 21 0 03 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 204 496 0 02 Feb 2021
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem Matthew J. Colbrook Vegard Antun A. Hansen 119 136 0 20 Jan 2021
Fast Facial Landmark Detection and Applications: A Survey K. Khabarlak L. Koriashkina CVBM 3DH 107 61 0 12 Jan 2021
Explainable Artificial Intelligence (XAI): An Engineering Perspective F. Hussain R. Hussain E. Hossain XAI 78 26 0 10 Jan 2021
Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks Marissa Dotter Sherry Xie Keith Manville Josh Harguess Colin Busho Mikel Rodriguez AAML 52 2 0 08 Jan 2021
PointCutMix: Regularization Strategy for Point Cloud Classification Jinlai Zhang Lvjie Chen Bojun Ouyang Binbin Liu Jihong Zhu Yujing Chen Yanmei Meng Danfeng Wu 3DPC 113 115 0 05 Jan 2021
Active Learning Under Malicious Mislabeling and Poisoning Attacks Jing Lin R. Luley Kaiqi Xiong AAML 83 8 0 01 Jan 2021
Achieving Adversarial Robustness Requires An Active Teacher Chao Ma Lexing Ying 71 1 0 14 Dec 2020
Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning Ömer Faruk Tuna Ferhat Ozgur Catak M. T. Eskil AAML 83 11 0 11 Dec 2020
Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics Statistics Zhiwei Jia Bodi Yuan Kangkang Wang Hong Wu David Clifford Zhiqiang Yuan Hao Su VLM 108 23 0 09 Dec 2020
Visually Imperceptible Adversarial Patch Attacks on Digital Images Yaguan Qian Jiamin Wang Bin Wang Xiang Ling Zhaoquan Gu Chunming Wu Wassim Swaileh AAML 75 2 0 02 Dec 2020