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cs.LG2026
Behavioral Guarantees for Proxy-Based Unlearning
Virgile Dine, Teddy Furon
This paper proposes a framework generalizing recent proxy-based unlearning methods and proves theoretical guarantees about the behavior of the resulting unlearned model: upper boun…
cs.LG2025
Improving Unlearning with Model Updates Probably Aligned with Gradients
Virgile Dine, Teddy Furon, Charly Faure
We formulate the machine unlearning problem as a general constrained optimization problem. It unifies the first-order methods from the approximate machine unlearning literature. Th…