pretraining data detection

Enhancing Pre-training Data Detection in LLMs Through Discriminative and Symmetric Prefix Selection AAAI 2026 Gap-K%: Measuring Top-1 Prediction Gap for Detecting Pretraining Data ACL 2026 PDR: A Plug-and-Play Positional Decay Framework for LLM Pre-training Data Detection ACL 2026 Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework EMNLP 2025 Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models ICLR 2025 MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector AAAI 2025 Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models ICLR 2025 Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack EMNLP 2025 Detecting Pretraining Data from Large Language Models ICLR 2024 DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models ACL 2024 Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method EMNLP 2024 Probing Language Models for Pre-training Data Detection ACL 2024 ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024