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Privacy

2794 directly classified papers

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Papers

Balancing Privacy and Utility in Personal LLM Writing Tasks: An Automated Pipeline for Evaluating Anonymizations NAACL 2025
Your Semantic-Independent Watermark is Fragile: A Semantic Perturbation Attack against EaaS Watermark EMNLP 2025
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach WACV 2025
Data-centric NLP Backdoor Defense from the Lens of Memorization NAACL 2025
Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models EMNLP 2025
DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion ICCV 2025
Retracing the Past: LLMs Emit Training Data When They Get Lost EMNLP 2025
SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains EMNLP 2025
LLM Evaluate: An Industry-Focused Evaluation Tool for Large Language Models COLING 2025
Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs NAACL 2025
PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles NAACL 2025
FLSeg: Enhancing Privacy and Robustness in Federated Learning under Heterogeneous Data via Model Segmentation ICCV 2025
DuMo: Dual Encoder Modulation Network for Precise Concept Erasure AAAI 2025
Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models AAAI 2025
The Pitfalls of “Security by Obscurity” and What They Mean for Transparent AI AAAI 2025
“Yes, My LoRD.” Guiding Language Model Extraction with Locality Reinforced Distillation ACL 2025
Attention to Neural Plagiarism: Diffusion Models Can Plagiarize Your Copyrighted Images! ICCV 2025
Investigating User Perspectives on Differentially Private Text Privatization NAACL 2025
RAEncoder: A Label-Free Reversible Adversarial Examples Encoder for Dataset Intellectual Property Protection CVPR 2025
PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data ACL 2025
Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector ACL 2025
ISACL: Internal State Analyzer for Copyrighted Training Data Leakage EMNLP 2025
Beyond Reconstruction: Generating Privacy-Preserving Clinical Letters NAACL 2025
DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment EMNLP 2025
Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees EMNLP 2025