Machine Learning with Membership Privacy using Adversarial Regularization

• Main Authors: Nasr, Milad, Shokri, Reza, Houmansadr, Amir
• Other Authors: DEPARTMENT OF COMPUTER SCIENCE
• Format: Conference or Workshop Item
• Published: ASSOC COMPUTING MACHINERY 2020
• Subjects: Science & Technology; Technology; Computer Science, Theory & Methods; Engineering, Electrical & Electronic; Computer Science; Engineering; Data privacy; Machine learning; Inference attacks; Membership privacy; Indistinguishability; Min-max game; Adversarial process
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/172810
• Institution: National University of Singapore

10.1145/3243734.3243855