Deep Unlearning via Randomized Conditionally Independent Hessians

• Published in: Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) Vol. 2022; pp. 10412 - 10421
• Main Authors: Mehta, Ronak, Pal, Sourav, Singh, Vikas, Ravi, Sathya N.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 01.06.2022
• Subjects: accountability; Computational modeling; Face recognition; fairness; Law; Legislation; Predictive models; privacy and ethics in vision; Machine learning; Optimization methods; Statistical methods; Semantics; Training; Transparency

Recent legislation has led to interest in machine unlearning, i. e., removing specific training samples from a predictive model as if they never existed in the training dataset. Unlearning may also be required due to corrupted/adversarial data or simply a user's updated privacy requirement. For...