Adversarial Attacks and Defences: A Survey

28 September 2018

Papers citing "Adversarial Attacks and Defences: A Survey"

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Title
A Survey on Adversarial Attacks for Malware Analysis Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 99 53 0 16 Nov 2021
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks Maksym Yatsura J. H. Metzen Matthias Hein OOD 93 14 0 02 Nov 2021
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks Yonggan Fu Qixuan Yu Yang Zhang Shan-Hung Wu Ouyang Xu David D. Cox Yingyan Lin AAML OOD 123 30 0 26 Oct 2021
Poisoning Attacks on Fair Machine Learning Minh-Hao Van Wei Du Xintao Wu Aidong Lu AAML 67 23 0 17 Oct 2021
ECG-ATK-GAN: Robustness against Adversarial Attacks on ECGs using Conditional Generative Adversarial Networks Khondker Fariha Hossain Sharif Amit Kamran Alireza Tavakkoli Xingjun Ma AAML 72 5 0 17 Oct 2021
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies Bao Wang Hedi Xia T. Nguyen Stanley Osher AI4CE 105 10 0 13 Oct 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 211 382 0 04 Oct 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 71 4 0 16 Sep 2021
Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability K. Operiano W. Pora H. Iba Hiroshi Kera AAML 63 1 0 13 Sep 2021
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency Yonggan Fu Yang Zhao Qixuan Yu Chaojian Li Yingyan Lin AAML 160 14 0 11 Sep 2021
Imbalanced Adversarial Training with Reweighting Wentao Wang Han Xu Xiaorui Liu Yaxin Li B. Thuraisingham Jiliang Tang 81 16 0 28 Jul 2021
Generative Models for Security: Attacks, Defenses, and Opportunities L. A. Bauer Vincent Bindschaedler 103 4 0 21 Jul 2021
Improved Text Classification via Contrastive Adversarial Training Lin Pan Chung-Wei Hang Avirup Sil Saloni Potdar AAML 63 92 0 21 Jul 2021
Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks Ismail Alarab S. Prakoonwit AAML 103 14 0 15 Jul 2021
Model Transferability With Responsive Decision Subjects Yatong Chen Zeyu Tang Kun Zhang Yang Liu 119 10 0 13 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 192 212 0 12 Jul 2021
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations Mohammad Nayeem Teli Se-Ryeong Oh AAML 33 2 0 10 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 107 74 0 04 Jul 2021
The Threat of Offensive AI to Organizations Yisroel Mirsky Ambra Demontis J. Kotak Ram Shankar Deng Gelei Liu Yang Xinming Zhang Wenke Lee Yuval Elovici Battista Biggio 97 85 0 30 Jun 2021
Poisoning the Search Space in Neural Architecture Search Robert Wu Nayan Saxena Rohan Jain OOD AAML 33 1 0 28 Jun 2021
Who is Responsible for Adversarial Defense? Kishor Datta Gupta D. Dasgupta AAML 29 2 0 27 Jun 2021
On the (Un-)Avoidability of Adversarial Examples Sadia Chowdhury Ruth Urner AAML 57 1 0 24 Jun 2021
Adversarial Attacks on Deep Models for Financial Transaction Records I. Fursov Matvey Morozov N. Kaploukhaya Elizaveta Kovtun Rodrigo Rivera-Castro Gleb Gusev Dmitrii Babaev Ivan Kireev Alexey Zaytsev Evgeny Burnaev AAML 83 38 0 15 Jun 2021
Probabilistic Margins for Instance Reweighting in Adversarial Training Qizhou Wang Feng Liu Bo Han Tongliang Liu Chen Gong Gang Niu Mingyuan Zhou Masashi Sugiyama AAML 83 65 0 15 Jun 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks Ahmed Aldahdooh W. Hamidouche Olivier Déforges ViT 53 60 0 07 Jun 2021
Generating Adversarial Examples with Graph Neural Networks Florian Jaeckle M. P. Kumar GAN AAML 51 21 0 30 May 2021
Verification of Image-based Neural Network Controllers Using Generative Models Sydney M. Katz Anthony Corso Christopher A. Strong Mykel J. Kochenderfer GAN 82 46 0 14 May 2021
Broadly Applicable Targeted Data Sample Omission Attacks Guy Barash E. Farchi Sarit Kraus Onn Shehory AAML 24 0 0 04 May 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison Ahmed Aldahdooh W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 222 128 0 01 May 2021
Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks Louis Bethune Thibaut Boissin M. Serrurier Franck Mamalet Corentin Friedrich Alberto González Sanz 109 23 0 11 Apr 2021
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network L. Schott H. Hajri Sylvain Lamprier AAML 41 4 0 07 Apr 2021
Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness Yi Cai Xuefei Ning Huazhong Yang Yu Wang AAML 27 4 0 27 Mar 2021
Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses Saurav Maji Utsav Banerjee A. Chandrakasan AAML 75 33 0 26 Mar 2021
Black-box Detection of Backdoor Attacks with Limited Information and Data Yinpeng Dong Xiao Yang Zhijie Deng Tianyu Pang Zihao Xiao Hang Su Jun Zhu AAML 91 114 0 24 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 82 341 0 19 Mar 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 55 9 0 18 Mar 2021
Online Adversarial Attacks Andjela Mladenovic A. Bose Hugo Berard William L. Hamilton Simon Lacoste-Julien Pascal Vincent Gauthier Gidel AAML 28 10 0 02 Mar 2021
FedPower: Privacy-Preserving Distributed Eigenspace Estimation Xiaoxun Guo Xiang Li Xiangyu Chang Shusen Wang Zhihua Zhang FedML 54 3 0 01 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 90 60 0 28 Feb 2021
Towards Robust and Reliable Algorithmic Recourse Sohini Upadhyay Shalmali Joshi Himabindu Lakkaraju 62 110 0 26 Feb 2021
Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks Matthew Ciolino Josh Kalin David Noever AAML 185 2 0 19 Feb 2021
Technical Report -- Expected Exploitability: Predicting the Development of Functional Vulnerability Exploits Octavian Suciu Connor Nelson Zhuo Lyu Tiffany Bao Tudor Dumitras 68 40 0 15 Feb 2021
Universal Adversarial Examples and Perturbations for Quantum Classifiers Weiyuan Gong D. Deng AAML 88 25 0 15 Feb 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS Felix O. Olowononi D. Rawat Chunmei Liu 95 138 0 14 Feb 2021
Adversarial Attack on Network Embeddings via Supervised Network Poisoning Viresh Gupta Tanmoy Chakraborty AAML 74 12 0 14 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
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice V. Kulkarni M. Gawali A. Kharat VLM 108 21 0 03 Feb 2021
Improving Neural Network Robustness through Neighborhood Preserving Layers Bingyuan Liu Christopher Malon Lingzhou Xue E. Kruus AAML 35 5 0 28 Jan 2021
Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies Ioannis Zografopoulos Juan Ospina XiaoRui Liu Charalambos Konstantinou 34 163 0 25 Jan 2021
Generating Black-Box Adversarial Examples in Sparse Domain Ieee Hadi Zanddizari Student Member Behnam Zeinali Jerome Chang AAML 36 7 0 22 Jan 2021