Machine Learning for Network-based Intrusion Detection Systems: an Analysis of the CIDDS-001 Dataset
Authors: José Carneiro, Nuno Oliveira, Norberto Sousa, Eva Maia, Isabel Praça | Published: 2021-07-02
攻撃の評価
Gradient-Free Adversarial Attacks for Bayesian Neural Networks
Authors: Matthew Yuan, Matthew Wicker, Luca Laurenti | Published: 2020-12-23
Asymptotic Behavior of Adversarial Training in Binary Classification
Authors: Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis | Published: 2020-10-26 | Updated: 2021-07-14
Erratum Concerning the Obfuscated Gradients Attack on Stochastic Activation Pruning
Authors: Guneet S. Dhillon, Nicholas Carlini | Published: 2020-09-30
On the Difficulty of Membership Inference Attacks
Authors: Shahbaz Rezaei, Xin Liu | Published: 2020-05-27 | Updated: 2021-03-22
Identifying Vulnerabilities of Industrial Control Systems using Evolutionary Multiobjective Optimisation
Authors: Nilufer Tuptuk, Stephen Hailes | Published: 2020-05-27
Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models
Authors: Martin Kotuliak, Sandro E. Schoenborn, Andrei Dan | Published: 2020-05-19
Stealing Links from Graph Neural Networks
Authors: Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang | Published: 2020-05-05 | Updated: 2020-10-05
Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey
Authors: Syeda Manjia Tahsien, Hadis Karimipour, Petros Spachos | Published: 2020-04-11
Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems
Authors: Eirini Anthi, Lowri Williams, Matilda Rhode, Pete Burnap, Adam Wedgbury | Published: 2020-04-10