Tag: flipping

Approaching the Harm of Gradient Attacks While Only Flipping Labels arXiv:2503.00140v1 Announce Type: new Abstract: Availability attacks are one of the strongest forms of training-phase attacks in machine learning, making the model unusable. While prior work in distributed ML has demonstrated such effect via gradient attacks and, more recently, data poisoning, we ask: can similar…