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Huihu Ding

2 accepted papers

2026

Dormant Backdoor: Weaponizing Model Finetuning for Feasible Backdoor Attacks Against Pretrained Models

AAAI 2026technical

As the pretraining-finetuning paradigm becomes dominant in modern AI, the security of model supply chains faces new risks from backdoor attacks. Existing work primarily studies backdoors injected during pretraining and treats subsequent finetuning with clean data as a defense, while recent finetunin

Cited by 0SourcePDFScholar
2026

Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation

AAAI 2026technical

Imputing missing values in spatial-temporal traffic data is essential for intelligent transportation systems. Among advanced imputation methods, score-based diffusion models have demonstrated competitive performance. These models generate data by reversing a noising process, using observed values as

Cited by 0SourcePDFScholar