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Privacy Preserving

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Showing 851–900 of 2975 papers

TitleStatusHype
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains—0
Privately Learning from Graphs with Applications in Fine-tuning Large Language ModelsCode0
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from ServerCode0
MIRACLE 3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model construction—0
De-VertiFL: A Solution for Decentralized Vertical Federated Learning—0
Federated brain tumor segmentation: an extensive benchmark—0
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services—0
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome PredictionCode0
Federated Learning Nodes Can Reconstruct Peers' Image Data—0
A Global Medical Data Security and Privacy Preserving Standards Identification Framework for Electronic Healthcare Consumers—0
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security—0
TAEGAN: Generating Synthetic Tabular Data For Data Augmentation—0
FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices—0
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model PromptingCode0
Differentially Private Active Learning: Balancing Effective Data Selection and PrivacyCode0
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation—0
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving—0
Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning—0
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting—0
Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees—0
FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration—0
Confidential Prompting: Protecting User Prompts from Cloud LLM ProvidersCode0
Upper-Body Pose-based Gaze Estimation for Privacy-Preserving 3D Gaze Target DetectionCode0
ID^3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition—0
PDFed: Privacy-Preserving and Decentralized Asynchronous Federated Learning for Diffusion Models—0
Development of an Edge Resilient ML Ensemble to Tolerate ICS Adversarial Attacks—0
Trustworthy AI: Securing Sensitive Data in Large Language Models—0
KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generation—0
Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning—0
Artificial Intelligence for Secured Information Systems in Smart Cities: Collaborative IoT Computing with Deep Reinforcement Learning and Blockchain—0
LLMCount: Enhancing Stationary mmWave Detection with Multimodal-LLM—0
Towards Synthetic Data Generation for Improved Pain Recognition in Videos under Patient ConstraintsCode0
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review—0
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning—0
Peer-to-Peer Learning Dynamics of Wide Neural Networks—0
Demystifying Trajectory Recovery From Ash: An Open-Source Evaluation and EnhancementCode0
Federated Graph Learning with Adaptive Importance-based Sampling—0
UTrace: Poisoning Forensics for Private Collaborative Learning—0
A Review of Scalable and Privacy-Preserving Multi-Agent Frameworks for Distributed Energy Resources—0
Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data—0
Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation—0
Privacy-Preserving Framework for Cell-Free MIMO ISAC Systems—0
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research—0
Optimizing TinyML: The Impact of Reduced Data Acquisition Rates for Time Series Classification on Microcontrollers—0
Efficient and Personalized Mobile Health Event Prediction via Small Language Models—0
Obfuscation Based Privacy Preserving Representations are Recoverable Using Neighborhood InformationCode0
On the effects of similarity metrics in decentralized deep learning under distributional shift—0
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language ModelingCode0
Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports—0
A Statistical Viewpoint on Differential Privacy: Hypothesis Testing, Representation and Blackwell's Theorem—0
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