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Mitigating Fine-Tuning Poisoning Attacks

Fine-tuning poisoning attacks can introduce hidden malicious behaviors in machine learning models. Current defenses focus on detecting malicious data or reducing its impact. However, a more fundamental question remains: can we restrict the model's ability to learn certain malicious updates?

Computing & Technology, Computer Science, Machine Learning