conftrace_

privacy protection

162 papers

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Co-occurring keywords

large language model (13587) privacy preservation (380) differential privacy (1016) diffusion model (3751) adversarial perturbation (384) face recognition (469) federated learning (1333) adversarial attack (1621) generative model (2892) text anonymization (25)

Papers

Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization EMNLP 2025
Vision Language Model Helps Private Information De-Identification in Vision Data ACL 2025
FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge EMNLP 2025
IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization IJCNLP 2025
SPY: Enhancing Privacy with Synthetic PII Detection Dataset NAACL 2025
Enhancing Facial Privacy Protection via Weakening Diffusion Purification CVPR 2025
ESC: Erasing Space Concept for Knowledge Deletion CVPR 2025
Medical Manifestation-Aware De-Identification AAAI 2025
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration ACL 2025
Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework AAAI 2025
BIV-Priv-Seg: Locating Private Content in Images Taken by People with Visual Impairments WACV 2025
AIGT: AI Generative Table Based on Prompt COLING 2025
1-2-3 Check: Enhancing Contextual Privacy in LLM via Multi-Agent Reasoning ACL 2025
How do we measure privacy in text? A survey of text anonymization metrics AACL 2025
On the Vulnerability of Text Sanitization NAACL 2025
GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models ACL 2025
Balancing Privacy and Utility in Personal LLM Writing Tasks: An Automated Pipeline for Evaluating Anonymizations NAACL 2025
Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts NAACL 2025
PrivObfNet: A Weakly Supervised Semantic Segmentation Model for Data Protection WACV 2024
Towards the Robustness of Differentially Private Federated Learning AAAI 2024
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation NIPS 2024
A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis AAAI 2024
Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks ACL 2024
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NIPS 2024
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs NIPS 2024