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Privacy Preserving

Papers

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Showing 1251–1300 of 2975 papers

TitleStatusHype
FedRKG: A Privacy-preserving Federated Recommendation Framework via Knowledge Graph EnhancementCode0
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection—0
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks—0
Foundation Models in Federated Learning: Assessing Backdoor Vulnerabilities—0
MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic EncryptionCode0
Privacy Preserving Adaptive Experiment Design—0
DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks—0
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning—0
The Effects of Data Imbalance Under a Federated Learning Approach for Credit Risk Forecasting—0
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models—0
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning AnalyticsCode0
Privacy Analysis of Affine Transformations in Cloud-based MPC: Vulnerability to Side-knowledge—0
Inferring Intentions to Speak Using Accelerometer Data In-the-Wild—0
Learning-Based Difficulty Calibration for Enhanced Membership Inference AttacksCode0
Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer—0
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning—0
Congruent Learning for Self-Regulated Federated Learning in 6GCode0
Private Fine-tuning of Large Language Models with Zeroth-order Optimization—0
Privacy-Preserving Sequential Recommendation with Collaborative Confusion—0
A Survey on Efficient Federated Learning Methods for Foundation Model Training—0
Privacy-Preserving in Blockchain-based Federated Learning Systems—0
AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis—0
Comprehensive Exploration of Synthetic Data Generation: A Survey—0
Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems—0
Step length measurement in the wild using FMCW radar—0
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy—0
FedQV: Leveraging Quadratic Voting in Federated LearningCode0
Selective Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition—0
Validating Privacy-Preserving Face Recognition under a Minimum AssumptionCode0
Facebook Report on Privacy of fNIRS data—0
Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds—0
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPCCode0
Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity RecognitionCode0
Securing the Future: Innovations in Privacy-Preserving Integrated Sensing for Industrial Cyber-Physical Systems—0
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration—0
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners—0
CamPro: Camera-based Anti-Facial RecognitionCode0
ConfusionPrompt: Practical Private Inference for Online Large Language Models—0
Privacy-Preserved Neural Graph DatabasesCode0
FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization—0
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms—0
Regularized PolyKervNets: Optimizing Expressiveness and Efficiency for Private Inference in Deep Neural NetworksCode0
IRG: Generating Synthetic Relational Databases using Deep Learning with Insightful Relational Understanding—0
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)Code0
Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection—0
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding—0
Sharing is CAIRing: Characterizing Principles and Assessing Properties of Universal Privacy Evaluation for Synthetic Tabular Data—0
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants—0
A review of federated learning in renewable energy applications: Potential, challenges, and future directions—0
FedMKGC: Privacy-Preserving Federated Multilingual Knowledge Graph Completion—0
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