2 papers
cs.CV2026
Heterogeneous Knowledge Distillation via Geometry Decoupling and Momentum-Aware Gradient Regulation
Wuming Yang, Xiang Zhang, Hongmin Zhao
Heterogeneous Knowledge Distillation (HKD) aims to transfer knowledge across varying architectures (e.g., from Transformer to CNN) but inherently suffers from severe training insta…
cs.CR2024
A Practical Trigger-Free Backdoor Attack on Neural Networks
Jiahao Wang, Xianglong Zhang, Xiuzhen Cheng +2
Backdoor attacks on deep neural networks have emerged as significant security threats, especially as DNNs are increasingly deployed in security-critical applications. However, most…