Interactive Trimming against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach

arXiv:2403.10313v1 Announce Type: new
Abstract: With the exponential growth of data and its crucial impact on our lives and decision-making, the integrity of data has become a significant concern. Malicious data poisoning attacks, where false values are injected into the data, can disrupt machine learning processes and lead to severe consequences. To mitigate these attacks, distance-based defenses, such as trimming, have been proposed, but they can be easily evaded by white-box attackers. The evasiveness and effectiveness of poisoning attack strategies …

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