作者位次 #2/9OSDI 2026Oral· Operating Systems & Distributed Systems
Cocoon: A System Architecture for Differentially Private Training with Correlated Noises
Donghwan Kim · Xin Gu · Jinho Baek · Timothy Lo · Younghoon Min · Kwangsik Shin · Jongryool Kim · Jongse Park · Kiwan Maeng
摘要
Machine learning (ML) models memorize and leak training data, causing serious privacy issues to data owners. Training algorithms with differential privacy (DP) have been gaining attention as a solution. However, these algorithms add noise at each training iteration and degrade accuracy, limiting...