conftrace_

privacy preservation

380 papers

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Co-occurring keywords

federated learning (1333) large language model (13587) differential privacy (1016) machine unlearning (290) privacy protection (162) model compression (3302) knowledge distillation (3725) adversarial learning (1595) language model (4599) privacy-preserving learning (117)

Papers

DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment EMNLP 2025
NeuroReset : LLM Unlearning via Dual Phase Mixed Methodology ACL 2025
Improving Private Random Forest Prediction Using Matrix Representation AAAI 2025
Federated Multi-view Graph Clustering with Incomplete Attribute Imputation IJCAI 2025
BIV-Priv-Seg: Locating Private Content in Images Taken by People with Visual Impairments WACV 2025
Model-based Large Language Model Customization as Service EMNLP 2025
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning AAAI 2025
Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric IJCAI 2025
PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements EMNLP 2025
Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering EMNLP 2025
Personalized Language Models via Privacy-Preserving Evolutionary Model Merging EMNLP 2025
Model Rake: A Defense Against Stealing Attacks in Split Learning IJCAI 2025
Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers AAAI 2025
Human-Inspired Obfuscation for Model Unlearning: Local and Global Strategies with Hyperbolic Representations EMNLP 2025
AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy WACV 2025
PrivateEye: In-Sensor Privacy Preservation Through Optical Feature Separation WACV 2025
Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models AAAI 2025
Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model AAAI 2025
Privacy-and-Utility-Aware Publishing of Schedules AAAI 2025
SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains EMNLP 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis CVPR 2025
TransLaTeX: Exposing the Last-Mile Execution Gap in LLM-Agent for Scientific Formatting IJCNLP 2025
RecordTwin: Towards Creating Safe Synthetic Clinical Corpora ACL 2025
A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality EMNLP 2025
DP-FROST: Differentially Private Fine-tuning of Pre-trained Models with Freezing Model Parameters COLING 2025