2 papers
cs.CL2026
PDR: A Plug-and-Play Positional Decay Framework for LLM Pre-training Data Detection
Jinhan Liu, Yibo Yang, Ruiying Lu +4
Detecting pre-training data in Large Language Models (LLMs) is crucial for auditing data privacy and copyright compliance, yet it remains challenging in black-box, zero-shot settin…
cs.LG2025
Investigating Mask-aware Prototype Learning for Tabular Anomaly Detection
Ruiying Lu, Jinhan Liu, Chuan Du +1
Tabular anomaly detection, which aims at identifying deviant samples, has been crucial in a variety of real-world applications, such as medical disease identification, financial fr…