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Privacy Preserving

Papers

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Showing 401–450 of 2975 papers

TitleStatusHype
MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering—0
Distributed Non-Convex Optimization with One-Bit Compressors on Heterogeneous Data: Efficient and Resilient Algorithms—0
Challenges of Privacy-Preserving Machine Learning in IoT—0
Building and Measuring Privacy-Preserving Predictive Blacklists—0
Building blocks of a task-oriented dialogue system in the healthcare domain—0
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models—0
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition—0
BUNET: Blind Medical Image Segmentation Based on Secure UNET—0
A Privacy-Preserving Content-Based Image Retrieval Scheme Allowing Mixed Use Of Encrypted And Plain Images—0
Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises—0
Byzantine-Resilient Secure Federated Learning—0
Byzantine-Robust and Privacy-Preserving Framework for FedML—0
C^3DRec: Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era—0
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning—0
Cali3F: Calibrated Fast Fair Federated Recommendation System—0
A privacy-preserving distributed computational approach for distributed locational marginal prices—0
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information—0
Privacy Leakage Overshadowed by Views of AI: A Study on Human Oversight of Privacy in Language Model Agent—0
Bootstrap Model Aggregation for Distributed Statistical Learning—0
Can large language models be privacy preserving and fair medical coders?—0
Can LLMs get help from other LLMs without revealing private information?—0
A Parameter Privacy-Preserving Strategy for Mixed-Autonomy Platoon Control—0
Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing—0
Canopy: A Verifiable Privacy-Preserving Token Ring based Communication Protocol for Smart Homes—0
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations—0
A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework—0
Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities—0
CARMA: Fair and efficient bottleneck congestion management via non-tradable karma credits—0
Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code—0
Catching Elusive Depression via Facial Micro-Expression Recognition—0
Boomerang: Local sampling on image manifolds using diffusion models—0
A Control-Recoverable Added-Noise-based Privacy Scheme for LQ Control in Networked Control Systems—0
CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference—0
CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging—0
A Privacy-Preserving Framework for Cloud-Based HVAC Control—0
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations—0
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference—0
Centralised rehearsal of decentralised cooperation: Multi-agent reinforcement learning for the scalable coordination of residential energy flexibility—0
BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning—0
Challenges and approaches to privacy preserving post-click conversion prediction—0
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning—0
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training—0
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings—0
Chemical knowledge-informed framework for privacy-aware retrosynthesis learning—0
Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment—0
Chisme: Fully Decentralized Differentiated Deep Learning for Edge Intelligence—0
An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications—0
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos—0
Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare—0
Blockchain-empowered Federated Learning for Healthcare Metaverses: User-centric Incentive Mechanism with Optimal Data Freshness—0
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