Co-occurring keywords · papers mentioning both
Papers
Indonesian Speech Content De-Identification in Low Resource Transcripts
COLING 2025
Language Models are Advanced Anonymizers
ICLR 2025
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
COLING 2025
LLM Evaluate: An Industry-Focused Evaluation Tool for Large Language Models
COLING 2025
Medical Manifestation-Aware De-Identification
AAAI 2025
On Large Language Model Continual Unlearning
ICLR 2025
On the Vulnerability of Text Sanitization
NAACL 2025
PIIvot: A Lightweight NLP Anonymization Framework for Question-Anchored Tutoring Dialogues
EMNLP 2025
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
ACL 2025
Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility
ICLR 2025
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
ACL 2025
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
CVPR 2025
PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation
WACV 2025
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach
WACV 2025
RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification
ACL 2025
Scaling Laws for Differentially Private Language Models
ICML 2025
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models
AAAI 2025
Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation
CVPR 2025
SPY: Enhancing Privacy with Synthetic PII Detection Dataset
NAACL 2025
S-RAG: A Novel Audit Framework for Detecting Unauthorized Use of Personal Data in RAG Systems
ACL 2025
T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation
CVPR 2025
Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization
EMNLP 2025
Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency
ICLR 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
CVPR 2025
Towards All-in-One Medical Image Re-Identification
CVPR 2025