data leakage

Retaliatory Attacks Against Federated Unlearning via Data Leakage AAAI 2026 Assessing the Exposure to Public Knowledge in Policy-Protected Description Logic Ontologies IJCAI 2025 Can Federated Learning Safeguard Private Data in LLM Training? Vulnerabilities, Attacks, and Defense Evaluation EMNLP 2025 Do LLMs Behave as Claimed? Investigating How LLMs Follow Their Own Claims using Counterfactual Questions EMNLP 2025 ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities ICLR 2025 Investigating How Pre-training Data Leakage Affects Models’ Reproduction and Detection Capabilities EMNLP 2025 PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation ICML 2025 Rethinking Cross-Subject Data Splitting for Brain-to-Text Decoding EMNLP 2025 Rethinking Text-based Protein Understanding: Retrieval or LLM? EMNLP 2025 R.R.: Unveiling LLM Training Privacy through Recollection and Ranking ACL 2025 Simulating Training Data Leakage in Multiple-Choice Benchmarks for LLM Evaluation AACL 2025 The Inverse Scaling Effect of Pre-Trained Language Model Surprisal Is Not Due to Data Leakage ACL 2025 Uncovering Latent Memories in Large Language Models ICLR 2025 Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges ACL 2025 Are We on the Right Way for Evaluating Large Vision-Language Models? NeurIPS 2024 Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research EMNLP 2024 EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations NeurIPS 2024 FedInverse: Evaluating Privacy Leakage in Federated Learning ICLR 2024 Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It CVPR 2024 Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models ACL 2024 Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference NeurIPS 2024 SecureSQL: Evaluating Data Leakage of Large Language Models as Natural Language Interfaces to Databases EMNLP 2024 Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients EMNLP 2024 Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation ACL 2024 A Data-Based Perspective on Transfer Learning CVPR 2023