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Beyond Native Success: Auditing Deployment-Interface Exposure of CLIP Backdoors
Kunlan Xiang, Haomiao Yang, Wenbo Jiang
Contrastive Language-Image Pre-training models are widely reused across downstream interfaces, including feature extraction, retrieval, reranking, and selection. Existing CLIP back…
Delayed Backdoor Attacks: Exploring the Temporal Dimension as a New Attack Surface in Pre-Trained Models
Zikang Ding, Haomiao Yang, Meng Hao +6
Backdoor attacks against pre-trained models (PTMs) have traditionally operated under an ``immediacy assumption,'' where malicious behavior manifests instantly upon trigger occurren…
BadTime: An Effective Backdoor Attack on Multivariate Long-Term Time Series Forecasting
Kunlan Xiang, Haomiao Yang, Meng Hao +7
Multivariate long-term time series forecasting (MLTSF) models are increasingly deployed in critical domains such as climate, finance, and transportation. Despite their growing impo…
The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning
Kunlan Xiang, Haomiao Yang, Meng Hao +5
In Federated Learning (FL), clients share gradients with a central server while keeping their data local. However, malicious servers could deliberately manipulate the models to rec…