Pinci Yang

Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting

Data-free model stealing involves replicating the functionality of a target model into a substitute model without accessing the target model's structure, parameters, or training data. Instead, the adversary can only access the target model's predictions for generated samples. Once the substitute mod…