conftrace_

privacy preserving

54 papers

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Co-occurring keywords

federated learning (1333) differential privacy (1016) privacy preservation (380) secure multi-party computation (21) distributed learning (563) feature extraction (1580) privacy attack (119) statistical estimation (108) local privacy (26) convergence rate (607)

Papers

Privacy Preserving In-Context-Learning Framework for Large Language Models 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
Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI AAAI 2026
HARMONY: A Privacy-preserving and Sensor-agnostic Tele-monitoring system IJCAI 2025
Privacy Preserving Data Selection for Bias Mitigation in Speech Models ACL 2025
Asynchronous Federated Clustering with Unknown Number of Clusters AAAI 2025
DPED: Multi-Layer Noise Distillation for Privacy-Preserving Text Embeddings EMNLP 2025
An Inversion-based Measure of Memorization for Diffusion Models ICCV 2025
How Private are Language Models in Abstractive Summarization? EMNLP 2025
VAGUE‐Gate: Plug‐and‐Play Local‐Privacy Shield for Retrieval‐Augmented Generation AACL 2025
SAHAY: Multimodal, Privacy-Preserving AI for Suicide Risk Detection and Intervention in India IJCAI 2025
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization CVPR 2024
POP-VQA - Privacy Preserving, On-Device, Personalized Visual Question Answering WACV 2024
A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities AAAI 2024
A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis AAAI 2024
A Systematic Survey on Federated Semi-supervised Learning IJCAI 2024
Flock: A Framework for Deploying On-Demand Distributed Trust OSDI 2024
MERGE: Fast Private Text Generation AAAI 2024
Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation IJCAI 2023
Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS 2023
A Privacy-Friendly Approach to Data Valuation NIPS 2023
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation AAAI 2023
Graph Generative Model for Benchmarking Graph Neural Networks ICML 2023