SOTAVerified

Privacy Preserving

Papers

Showing 1501–1550 of 2975 papers

TitleStatusHype
Training Differentially Private Models with Secure Multiparty Computation—0
Training generative models from privatized data—0
Transformer-Based Person Identification via Wi-Fi CSI Amplitude and Phase Perturbations—0
TransFR: Transferable Federated Recommendation with Pre-trained Language Models—0
Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection—0
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning—0
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency—0
Trustformer: A Trusted Federated Transformer—0
Trustworthy AI: Securing Sensitive Data in Large Language Models—0
Trustworthy Federated Learning via Blockchain—0
Trustworthy Privacy-preserving Hierarchical Ensemble and Federated Learning in Healthcare 4.0 with Blockchain—0
Semantic-Enabled 6G Communication: A Task-oriented and Privacy-preserving Perspective—0
Trustworthy Transfer Learning: A Survey—0
TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning—0
Turning Privacy-preserving Mechanisms against Federated Learning—0
UA-PDFL: A Personalized Approach for Decentralized Federated Learning—0
Uncertainty-Aware Explainable Federated Learning—0
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data—0
Uncovering Hidden Subspaces in Video Diffusion Models Using Re-Identification—0
Uncovering the Dark Side of Telegram: Fakes, Clones, Scams, and Conspiracy Movements—0
Understanding Policy and Technical Aspects of AI-Enabled Smart Video Surveillance to Address Public Safety—0
Understanding the Interplay between Privacy and Robustness in Federated Learning—0
Bidirectional Contrastive Split Learning for Visual Question Answering—0
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving—0
Unifying Distillation with Personalization in Federated Learning—0
Universal Semantic Disentangled Privacy-preserving Speech Representation Learning—0
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter—0
Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise—0
UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs—0
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks—0
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data—0
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs—0
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation—0
User-Centered Security in Natural Language Processing—0
User-Centric Federated Learning: Trading off Wireless Resources for Personalization—0
User Modeling and User Profiling: A Comprehensive Survey—0
User-wise Perturbations for User Identity Protection in EEG-Based BCIs—0
Using Bluetooth Low Energy (BLE) Signal Strength Estimation to Facilitate Contact Tracing for COVID-19—0
Utility-aware Privacy-preserving Data Releasing—0
UTrace: Poisoning Forensics for Private Collaborative Learning—0
V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges—0
Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions—0
Vector-valued Privacy-Preserving Average Consensus—0
VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning—0
Verifiable Unlearning on Edge—0
Version age-based client scheduling policy for federated learning—0
A Distributed Privacy Preserving Model for the Detection of Alzheimer's Disease—0
Vertical Federated Continual Learning via Evolving Prototype Knowledge—0
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks—0
Vertical Federated Learning: Concepts, Advances and Challenges—0
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