Tensor-Splitting: The Ghost in the Distributed Machine
Tensor-Splitting: The Ghost in the Distributed Machine TL;DR Tensor-Splitting is a next-generation poisoning strategy where malicious weights are fragmented across multiple model layers or even different “forks” of a model. By ensuring that no single weight modification appears anomalous to security scanners, attackers can rebuild a functional backdoor only when the full model is assembled