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Adversarial Examples in Modern Machine Learning: A Review

13 November 2019

Papers citing "Adversarial Examples in Modern Machine Learning: A Review"

41 / 41 papers shown

Title
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems Cheng Chen Yuhong Wang Nafis S Munir Xiangwei Zhou Xugui Zhou AAML 210 2 0 14 May 2025
ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration TestingIEEE Military Communications Conference (MILCOM), 2024 Haozhe Lei Yunfei Ge Quanyan Zhu AAML 96 5 0 31 Oct 2024
A Comprehensive Survey on the Security of Smart Grid: Challenges, Mitigations, and Future Research Opportunities Arastoo Zibaeirad Farnoosh Koleini Shengping Bi Tao Hou Tao Wang AAML 218 34 0 10 Jul 2024
A Survey of Language-Based Communication in Robotics William Hunt Sarvapali D. Ramchurn Mohammad D. Soorati LM&Ro 660 17 0 06 Jun 2024
Arabic Synonym BERT-based Adversarial Examples for Text ClassificationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2024 Norah M. Alshahrani Saied Alshahrani Esma Wali Jeanna Neefe Matthews AAML 127 11 0 05 Feb 2024
The Pros and Cons of Adversarial Robustness Yacine Izza Sasha Rubin AAML 177 1 0 18 Dec 2023
A Survey on Transferability of Adversarial Examples across Deep Neural Networks Jindong Gu Yang Liu Pau de Jorge Wenqain Yu Xinwei Liu ... Anjun Hu Ashkan Khakzar Zhijiang Li Simeng Qin Juil Sock AAML 332 47 0 26 Oct 2023
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart Grid: A ReviewIEEE Internet of Things Journal (IEEE IoT J.), 2023 Zhenyong Zhang Mengxiang Liu Mingyang Sun Ruilong Deng Peng Cheng Dusit Niyato Mo-Yuen Chow Jiming Chen 253 82 0 30 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion DetectionComputers & security (Comput. Secur.), 2023 João Vitorino Isabel Praça Eva Maia AAML 172 29 0 13 Aug 2023
AdvFAS: A robust face anti-spoofing framework against adversarial examplesComputer Vision and Image Understanding (CVIU), 2023 Jiawei Chen Xiaohu Yang Heng Yin Mingzhi Ma Bihui Chen Jianteng Peng Yandong Guo Z. Yin Han Su AAML CVBM 149 12 0 04 Aug 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A SurveyIEEE Access (IEEE Access), 2023 Hanieh Naderi Ivan V. Bajić 3DPC 325 10 0 01 Jul 2023
Physical Adversarial Attacks for Surveillance: A SurveyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Kien Nguyen Thanh Tharindu Fernando Clinton Fookes Sridha Sridharan AAML 325 25 0 01 May 2023
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial TrainingSDM (SDM), 2023 Juntao Tan Shelby Heinecke Zhiwei Liu Yong-Guang Chen Zelong Li Haiquan Wang AAML 147 5 0 11 Apr 2023
DeeBBAA: A benchmark Deep Black Box Adversarial Attack against Cyber-Physical Power Systems A. Bhattacharjee T. K. Saha Ashu Verma Sukumar Mishra AAML 89 6 0 16 Mar 2023
Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems Islam Debicha Benjamin Cochez Tayeb Kenaza Thibault Debatty Jean-Michel Dricot Wim Mees AAML 154 8 0 13 Mar 2023
Human-Imperceptible Identification with Learnable Lensless ImagingIEEE Access (IEEE Access), 2023 Thuong Nguyen Canh Trung Thanh Ngo Hajime Nagahara 135 4 0 04 Feb 2023
A Survey on Physical Adversarial Attack in Computer Vision Donghua Wang Wen Yao Tingsong Jiang Guijian Tang Xiaoqian Chen AAML 454 47 0 28 Sep 2022
A study on the deviations in performance of FNNs and CNNs in the realm of grayscale adversarial images Durga Shree Nagabushanam Steve Mathew C. L. Chowdhary AAML 167 1 0 17 Sep 2022
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models Brendon G. Anderson Tanmay Gautam Somayeh Sojoudi OOD 188 2 0 15 Aug 2022
On the Robustness of Bayesian Neural Networks to Adversarial AttacksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Luca Bortolussi Ginevra Carbone Luca Laurenti A. Patané G. Sanguinetti Matthew Wicker AAML 227 14 0 13 Jul 2022
An Exploration of How Training Set Composition Bias in Machine Learning Affects Identifying Rare ObjectsAstronomy and Computing (A&C), 2022 S. Lake Chao-Wei Tsai 175 4 0 07 Jul 2022
Detecting and Recovering Adversarial Examples from Extracting Non-robust and Highly Predictive Adversarial Perturbations Mingyu Dong Jiahao Chen Diqun Yan Jingxing Gao Li Dong Rangding Wang AAML 132 0 0 30 Jun 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An OverviewACM Transactions on Evolutionary Learning and Optimization (TELO), 2022 Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke J. Herbinger AI4CE 272 82 0 15 Jun 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and MethodologiesPattern Recognition (Pattern Recogn.), 2022 Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 207 90 0 26 Mar 2022
Physically Consistent Neural Networks for building thermal modeling: theory and analysisApplied Energy (Appl. Energy), 2021 L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones PINN AI4CE 282 112 0 06 Dec 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble Yihao Wang AAML UQCV 128 1 0 07 Oct 2021
Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising Anouar Kherchouche Sid Ahmed Fezza W. Hamidouche AAML 124 11 0 12 Jul 2021
EvoBA: An Evolution Strategy as a Strong Baseline forBlack-Box Adversarial Attacks Andrei-Șerban Ilie Marius Popescu Alin Stefanescu AAML 148 7 0 12 Jul 2021
Localized Uncertainty Attacks Ousmane Amadou Dia Theofanis Karaletsos C. Hazirbas Cristian Canton Ferrer I. Kabul E. Meijer AAML 117 2 0 17 Jun 2021
BreakingBED -- Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks M. Vemparala Alexander Frickenstein Nael Fasfous Lukas Frickenstein Qi Zhao ... Daniel Ehrhardt Yuankai Wu C. Unger N. S. Nagaraja W. Stechele AAML 107 0 0 14 Mar 2021
Comparison of semi-supervised deep learning algorithms for audio classificationEURASIP Journal on Audio, Speech, and Music Processing (EURASIP J. Audio Speech Music Process), 2021 Léo Cances Etienne Labbé Thomas Pellegrini 106 21 0 16 Feb 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 118 64 0 09 Feb 2021
Recent Advances in Adversarial Training for Adversarial RobustnessInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 409 568 0 02 Feb 2021
Adversarial tradingSocial Science Research Network (SSRN), 2020 Alexandre Miot AAML 116 1 0 16 Dec 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks Tao Bai Jinqi Luo Jun Zhao AAML 202 8 0 03 Nov 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's PerspectiveACM Computing Surveys (ACM CSUR), 2020 G. R. Machado Eugênio Silva R. Goldschmidt AAML 236 182 0 08 Sep 2020
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine LearningAsilomar Conference on Signals, Systems and Computers (Asilomar), 2020 Xiaodong Wu R. Mudumbai Weiyu Xu AAML 132 3 0 28 Jul 2020
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks Hai Shu Ronghua Shi Qiran Jia Hongtu Zhu Ziqi Chen AAML 107 2 0 05 Jun 2020
A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks Yashar Deldjoo Tommaso Di Noia Felice Antonio Merra AAML 140 6 0 20 May 2020
Adversarial Attacks on Probabilistic Autoregressive Forecasting ModelsInternational Conference on Machine Learning (ICML), 2020 Raphaël Dang-Nhu Gagandeep Singh Pavol Bielik Martin Vechev AI4TS AAML 159 25 0 08 Mar 2020
Generating Natural Adversarial Examples Zhengli Zhao Dheeru Dua Sameer Singh GAN AAML 486 638 0 31 Oct 2017