Zheming Liang

Training an Anti-KD Model that Cannot Teach Students via Similarity Disruption

Knowledge Distillation (KD) aims to enhance the performance of student models by transferring knowledge from teacher models. While reaping the benefits of KD, the intellectual property risks associated with it cannot be ignored. Even if models are released without training data or provided as a serv…