marl-anomaly-detect
PublicThis project tests multiple different machine learning algorithms that can detect adversarial attacks in multi-agent reinforcement learning settings. Baselines were used to compare performance of a proposed ensemble model. Then, using FGSM, we re-attacked the ensemble detection model with perturbed observations. Read more at the pdf titled FinalPaper.
adversarial-attacksanomaly-detectiondeep-learningdetectionfgsmmachine-learningmulti-agentneural-networkreinforcement-learning
Creat：2021-02-16T01:50:55
Update：2024-03-17T01:33:46
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