A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
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Updated
May 27, 2022 - TeX
A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
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").
Contact: Maximilian Bachl, Alexander Hartl. Explores defenses against backdoors and poisoning attacks for Intrusion Detection Systems. Code for "EagerNet" is in the "eager" branch.
Adversarial Machine Learning Attacks in Scaled Self-Driving Cars is the topic of my Ms thesis research at the University of Tartu
This repository contains all the code and material related to the computer security course project regarding the subject of adversarial machine learning.
Project related to adversarial white-box attacks for the optimization for Data Science course of the Data Science master degree
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