3 papers
cs.LG2026
SPACE: Source-free Proxy Anchor Concept Erasure for MLLMs
Zhijing Zhang, Jiaqi Ding, Qianshan Wei +5
As Multimodal Large Language Models (MLLMs) face growing privacy risks and regulatory constraints, machine unlearning (MU) has emerged as a crucial solution for removing sensitive…
cs.CR2025
BackdoorDM: A Comprehensive Benchmark for Backdoor Learning on Diffusion Model
Weilin Lin, Nanjun Zhou, Yanyun Wang +3
Backdoor learning is a critical research topic for understanding the vulnerabilities of deep neural networks. While the diffusion model (DM) has been broadly deployed in public ove…
cs.SD2025
Gradient Norm-based Fine-Tuning for Backdoor Defense in Automatic Speech Recognition
Nanjun Zhou, Weilin Lin, Li Liu
Backdoor attacks have posed a significant threat to the security of deep neural networks (DNNs). Despite considerable strides in developing defenses against backdoor attacks in the…