On the Difficulty of Defending Self-Supervised Learning against Model Extraction

Adam Dziedzic, Nikita Dhawan, Muhammad Ahmad Kaleem +2

Self-Supervised Learning (SSL) is an increasingly popular ML paradigm that trains models to transform complex inputs into representations without relying on explicit labels. These…