الباحثون

Yiyong Liu

المنشورات 2

نسخة أولية وصول مفتوح

No Free Efficiency: Revisiting the Trade-off Between Training Efficiency and Model Vulnerability

Yiyong Liu, Jun Sakuma, Michael Backes وآخرون · 2026

Training efficiency has become the central driver of recent progress in foundation models. To overcome the massive computational and data requirements of large-scale training, researchers increasingly adopt strategies such as selective data sampling, efficient pre-training, and simplified reinforcement learning pipelin …

نسخة أولية وصول مفتوح

Near-Duplicate Families Break Exact-Record Membership Inference

Yiyong Liu, Jiayang Liu, Yixin Tan وآخرون · 2026

Membership inference (MI) asks whether a specific record appeared in a model's training set and is increasingly used as evidence for data provenance and copyright auditing. These applications require determining whether the exact queried record was used for training, rather than merely whether the model was exposed to …

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