information leakage

CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents ACL 2026 Do LLMs Really Memorize Personally Identifiable Information? Revisiting PII Leakage with a Cue-Controlled Memorization Framework ACL 2026 Privacy Preserving In-Context-Learning Framework for Large Language Models AAAI 2026 A Benchmark for Semantic Sensitive Information in LLMs Outputs ICLR 2025 A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization EMNLP 2025 Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses ICLR 2025 Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models ICML 2025 F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI ICLR 2025 Fundamental Limits of Membership Inference Attacks on Machine Learning Models JMLR 2025 Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering EMNLP 2025 Privacy Attacks on Image AutoRegressive Models ICML 2025 Understanding PII Leakage in Large Language Models: A Systematic Survey IJCAI 2025 Can LLMs get help from other LLMs without revealing private information? ACL 2024 Mixing Gradients in Neural Networks as a Strategy To Enhance Privacy in Federated Learning WACV 2024 Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains ICML 2024 PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action NeurIPS 2024 Trap-MID: Trapdoor-based Defense against Model Inversion Attacks NeurIPS 2024 Noisy adversarial representation learning for effective and efficient image obfuscation UAI 2023 Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence ACL 2023 A Consistent and Efficient Evaluation Strategy for Attribution Methods ICML 2022 How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021 Learner-Private Convex Optimization ICML 2021 Measuring data leakage in machine-learning models with Fisher information UAI 2021 Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images AAAI 2021 Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020