Leveraging Per-Instance Privacy for Machine Unlearning
Anvith Thudi presents a principled, per-instance privacy framework for quantifying machine unlearning difficulty, offering improved utility-unlearning tradeoffs.
Self-contained public lectures, keynote addresses, and research seminars.
Anvith Thudi presents a principled, per-instance privacy framework for quantifying machine unlearning difficulty, offering improved utility-unlearning tradeoffs.