Search Results for author: Daniel Trippa

Found 1 papers, 0 papers with code

$\nabla τ$: Gradient-based and Task-Agnostic machine Unlearning

no code implementations21 Mar 2024 Daniel Trippa, Cesare Campagnano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri

In this study, we introduce Gradient-based and Task-Agnostic machine Unlearning ($\nabla \tau$), an optimization framework designed to remove the influence of a subset of training data efficiently.

Inference Attack Machine Unlearning +1

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