Tag: against
-
Fighting Back Against Attacks in Federated Learning
Fighting Back Against Attacks in Federated Learning Lessons from a multi-node simulator The post Fighting Back Against Attacks in Federated Learning appeared first on Towards Data Science. Salman Toor Go to original source
-
Evasion Attacks Against Bayesian Predictive Models
Evasion Attacks Against Bayesian Predictive Models arXiv:2506.09640v1 Announce Type: new Abstract: There is an increasing interest in analyzing the behavior of machine learning systems against adversarial attacks. However, most of the research in adversarial machine learning has focused on studying weaknesses against evasion or poisoning attacks to predictive models in classical setups, with the susceptibility…