robustbench
RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
https://github.com/cn-tu/adversarial-recurrent-ids
Contact: Alexander Hartl, Maximilian Bachl, Fares Meghdouri. Explainability methods and Adversarial Robustness metrics for RNNs for Intrusion Detection Systems. Also contains code for "SparseIDS: Learning Packet Sampling with Reinforcement Learning" (branch "rl").
adversarial-patch-training
Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.
adversarial-nonparametrics
Robustness for Non-Parametric Classification: A Generic Attack and Defense
packet_captor_sakura
Research code for "Improving Meek With Adversarial Techniques"
https://github.com/alfa-group/robust-adv-malware-detection
[IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O’Reilly
https://github.com/cn-tu/ids-backdoor
Contact: Maximilian Bachl, Alexander Hartl. Explores defenses against backdoors and poisoning attacks for Intrusion Detection Systems. Code for "EagerNet" is in the "eager" branch.