privacy preserving

Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI AAAI 2026 FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients AAAI 2026 NLP Privacy Risk Identification in Social Media (NLP-PRISM): A Survey EACL 2026 Privacy Preserving In-Context-Learning Framework for Large Language Models AAAI 2026 Towards Cross-Modal Preservation, Consistency and Alignment for Privacy-Preserving Visible-Infrared Person Re-Identification CVPR 2026 An Inversion-based Measure of Memorization for Diffusion Models ICCV 2025 Asynchronous Federated Clustering with Unknown Number of Clusters AAAI 2025 DPED: Multi-Layer Noise Distillation for Privacy-Preserving Text Embeddings EMNLP 2025 Efficient Heterogeneity-Aware Federated Active Data Selection ICML 2025 HARMONY: A Privacy-preserving and Sensor-agnostic Tele-monitoring system IJCAI 2025 How Private are Language Models in Abstractive Summarization? EMNLP 2025 Kona: An Efficient Privacy-Preservation Framework for KNN Classification by Communication Optimization ICML 2025 Online Differentially Private Conformal Prediction for Uncertainty Quantification ICML 2025 Privacy Preserving Data Selection for Bias Mitigation in Speech Models ACL 2025 SAHAY: Multimodal, Privacy-Preserving AI for Suicide Risk Detection and Intervention in India IJCAI 2025 StyleKeeper: Prevent Content Leakage using Negative Visual Query Guidance ICCV 2025 Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs ICML 2025 A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis AAAI 2024 A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities AAAI 2024 A Systematic Survey on Federated Semi-supervised Learning IJCAI 2024 Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients ICML 2024 Differentially Private Bias-Term Fine-tuning of Foundation Models ICML 2024 Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization CVPR 2024 Flock: A Framework for Deploying On-Demand Distributed Trust OSDI 2024 Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024