Statically Detecting Adversarial Malware through Randomised Chaining
Authors: Matthew Crawford, Wei Wang, Ruoxi Sun, Minhui Xue | Published: 2021-11-28 | Updated: 2021-12-04
防御手法
Deep Learning for Android Malware Defenses: a Systematic Literature Review
Authors: Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu | Published: 2021-03-09 | Updated: 2022-08-09
Gradient-Free Adversarial Attacks for Bayesian Neural Networks
Authors: Matthew Yuan, Matthew Wicker, Luca Laurenti | Published: 2020-12-23
Optimized Random Forest Model for Botnet Detection Based on DNS Queries
Authors: Abdallah Moubayed, MohammadNoor Injadat, Abdallah Shami | Published: 2020-12-16
Backdoor Attacks to Graph Neural Networks
Authors: Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong | Published: 2020-06-19 | Updated: 2021-12-17
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks
Authors: Sanchari Sen, Balaraman Ravindran, Anand Raghunathan | Published: 2020-04-21
Protecting Classifiers From Attacks. A Bayesian Approach
Authors: Victor Gallego, Roi Naveiro, Alberto Redondo, David Rios Insua, Fabrizio Ruggeri | Published: 2020-04-18
Advanced Evasion Attacks and Mitigations on Practical ML-Based Phishing Website Classifiers
Authors: Yusi Lei, Sen Chen, Lingling Fan, Fu Song, Yang Liu | Published: 2020-04-15
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
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems
Authors: Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu | Published: 2020-04-09