This repository provides a list a list of publications from DASHLab about ML privacy.
Our published papers that related to privacy-preserving
2022: PTD: Privacy-Preserving Human Face Processing Framework using Tensor Decomposition accepted by ACM-SAC22. [paper]
2022: STL-DP: Differentially Private Time Series Exploring Decomposition and Compression Methods accepted by CIKM22. [paper]
Implementation and research on related papers
Image generation using Differential Privacy [Link]
Image classification using Differential Privacy [Link]
Our published papers that related to machine-unlearning
2022: Efficient Two-stage Model Retraining for Machine Unlearning accepted by CVPR22. [paper]
2022-2026. 개인정보보호 관련 정책 변화를 유연하게 반영하여 준수하는 AI플랫폼 연구 및 개발 (IITP)