sensitive information

A Guardrail Framework for Sensitive Financial Information Protection: A Taxonomy-Driven Approach AAAI 2026 Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents AAAI 2026 Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation EMNLP 2025 Empirical Evaluation of Loss Masking to Selectively Prevent Memorization ACL 2025 From Evasion to Concealment: Stealthy Knowledge Unlearning for LLMs ACL 2025 Human-Inspired Obfuscation for Model Unlearning: Local and Global Strategies with Hyperbolic Representations EMNLP 2025 Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMU SemEval 2025 NAP2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human EMNLP 2025 NeuroReset : LLM Unlearning via Dual Phase Mixed Methodology SemEval 2025 REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space ACL 2025 Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models AAAI 2025 UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models NAACL 2025 Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models CVPR 2025 Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024 PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action NeurIPS 2024 The Fundamental Limits of Least-Privilege Learning ICML 2024 Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries ACL 2024 Counterfactual Memorization in Neural Language Models NeurIPS 2023 Addressing Compliance in Call Centers with Entity Extraction Interspeech 2021 DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks CVPR 2021 Wasserstein Fair Classification UAI 2019