Misa Kebesheska Patched ((new)) Jun 2026

This paper introduces the MISA attack , which poisons both top and bottom models in a distributed learning setup. This causes a "misalignment" in the global model, leading to a total collapse in accuracy.

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or spam/irrelevant links on various web forums. It is possible this is a misspelling of a different technical term or a niche reference from a specific community (such as a gaming mod, a private software tool, or an internal corporate system) that has not been indexed in public security databases. This paper introduces the MISA attack , which

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It challenges the previous belief that Split Federated Learning is naturally robust against such attacks. Potential Clarifications on "Patched" Knowing where you saw the name would help