Nanjun Zhou — accepted AI-conference papers

2025

BackdoorDM: A Comprehensive Benchmark for Backdoor Learning on Diffusion Model

Weilin Lin, Nanjun Zhou, Yanyun Wang, Jianze Li, Hui Xiong, Li Liu

NeurIPS 2025poster

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 over the past few years, the understanding of its backdoor vulnerability is still in its infancy compared to the extensive…

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2025

Gradient Norm-based Fine-Tuning for Backdoor Defense in Automatic Speech Recognition

Nanjun Zhou, Weilin Lin, Li Liu

ICASSP 2025accepted

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 visual domain, the specialized defenses for the audio domain remain empty. Furthermore, the defenses adapted from the v…

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