Learning to Unlearn: Machine Unlearning via Learning the Unlearning Behaviors
Various machine unlearning techniques have been developed in response to privacy legislation requirements, enabling individuals to exercise their legal right to have their data $D_f$ removed from a machine learning model. This process is typically accomplished via the use of an unlearning function denoted as $U$. Existing methods focus on designing an intricate $U$ to unlearn $D_f \subset D$ from a previous model $A(D)$, so that the unlearned model performs as closely as possible to the retrained model $A(D \setminus D_f)$. However, these methods often suffer from high computational costs when
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- PossiblePossibly related (embedding) · 50%When Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costs - Apple Machine Learning Research →
- PossiblePossibly related (embedding) · 47%Dataset of permissively licensed code released →
- PossiblePossibly related (embedding) · 47%Behavioral Privacy Leakage in Agentic Negotiation: Formalizing and Mitigating Inference Attacks via Randomized Policies - Apple Machine Learning Research →
- FuzzySimilar title/name (fuzzy) · 66%DataTalksClub/machine-learning-zoomcamp →
“Fuzzy title match (0.78): “Learning to Unlearn: Machine Unlearning via Learning the Unl” ≈ “DataTalksClub/machine-learning-zoomcamp””
- FuzzySimilar title/name (fuzzy) · 66%stefan-jansen/machine-learning-for-trading →
“Fuzzy title match (0.78): “Learning to Unlearn: Machine Unlearning via Learning the Unl” ≈ “stefan-jansen/machine-learning-for-trading””
- FuzzySimilar title/name (fuzzy) · 59%rasbt/python-machine-learning-book →
“Fuzzy title match (0.73): “Learning to Unlearn: Machine Unlearning via Learning the Unl” ≈ “rasbt/python-machine-learning-book””
- FuzzySimilar title/name (fuzzy) · 59%aymericdamien/TopDeepLearning →
“Fuzzy title match (0.73): “Learning to Unlearn: Machine Unlearning via Learning the Unl” ≈ “aymericdamien/TopDeepLearning””
- FuzzySimilar title/name (fuzzy) · 59%EthicalML/awesome-production-machine-learning →
“Fuzzy title match (0.73): “Learning to Unlearn: Machine Unlearning via Learning the Unl” ≈ “EthicalML/awesome-production-machine-learning””