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Privacy Preserving

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Showing 1551–1600 of 2975 papers

TitleStatusHype
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly—0
Secure Vertical Federated Learning Under Unreliable Connectivity—0
VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition—0
VirtualIdentity: Privacy-Preserving User Profiling—0
Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification—0
Visor: Privacy-Preserving Video Analytics as a Cloud Service—0
ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification—0
VLLFL: A Vision-Language Model Based Lightweight Federated Learning Framework for Smart Agriculture—0
Foundation Models in Federated Learning: Assessing Backdoor Vulnerabilities—0
Vulnerability Due to Training Order in Split Learning—0
Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks—0
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems—0
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective—0
When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System—0
When Evolutionary Computation Meets Privacy—0
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection—0
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions—0
When the Curious Abandon Honesty: Federated Learning Is Not Private—0
Which PPML Would a User Choose? A Structured Decision Support Framework for Developers to Rank PPML Techniques Based on User Acceptance Criteria—0
Human-Imitating Metrics for Training and Evaluating Privacy Preserving Emotion Recognition Models Using Sociolinguistic Knowledge—0
Wi-Fi and Bluetooth Contact Tracing Without User Intervention—0
Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training—0
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach—0
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning—0
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning—0
X-World: Accessibility, Vision, and Autonomy Meet—0
Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review—0
You Are What You Write: Preserving Privacy in the Era of Large Language Models—0
You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images—0
Private Networked Federated Learning for Nonsmooth Objectives—0
Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm—0
Zero redundancy distributed learning with differential privacy—0
Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation—0
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things—0
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV—0
zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proof—0
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs—0
ZKPROV: A Zero-Knowledge Approach to Dataset Provenance for Large Language Models—0
zPROBE: Zero Peek Robustness Checks for Federated Learning—0
Reconstruction of Privacy-Sensitive Data from Protected Templates—0
Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection—0
Federated Mixture-of-Expert for Non-Overlapped Cross-Domain Sequential Recommendation—0
Federated Multi-View Learning for Private Medical Data Integration and Analysis—0
Federated Nearest Neighbor Machine Translation—0
Federated Neural Collaborative Filtering—0
FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning—0
Federated Offline Reinforcement Learning—0
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning—0
Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction—0
Federated Quantum Machine Learning with Differential Privacy—0
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