Tae-hoon Kim

Noisy adversarial representation learning for effective and efficient image obfuscation

Recent real-world applications of deep learning have led to the development of machine learning as a service (MLaaS). However, the scenario of client-server inference presents privacy concerns, where the server processes raw data sent from the user’s client device. One solution to this issue is to p…