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Privacy Preserving

Papers

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Showing 1401–1450 of 2975 papers

TitleStatusHype
Exploring the Impact of Disrupted Peer-to-Peer Communications on Fully Decentralized Learning in Disaster Scenarios—0
Privacy-preserving Multi-biometric Indexing based on Frequent Binary Patterns—0
Shielding the Unseen: Privacy Protection through Poisoning NeRF with Spatial Deformation—0
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers—0
Artemis: HE-Aware Training for Efficient Privacy-Preserving Machine Learning—0
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models—0
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning—0
Privacy-Preserving Distributed Market Mechanism for Active Distribution Networks—0
Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study—0
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models—0
SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure FrameworkCode0
FedZeN: Towards superlinear zeroth-order federated learning via incremental Hessian estimation—0
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping—0
A Unified View of Differentially Private Deep Generative Modeling—0
AI and Democracy's Digital Identity Crisis—0
Guaranteed Privacy-Preserving H_-Optimal Interval Observer Design for Bounded-Error LTI Systems—0
Privacy-preserving Linear Computations in Spiking Neural P Systems—0
Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients—0
Multiply Robust Federated Estimation of Targeted Average Treatment Effects—0
Methods for generating and evaluating synthetic longitudinal patient data: a systematic review—0
S-BDT: Distributed Differentially Private Boosted Decision TreesCode0
Preconditioned Federated Learning—0
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning—0
Striking a Balance: An Optimal Mechanism Design for Heterogenous Differentially Private Data Acquisition for Logistic Regression—0
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning—0
Crypto'Graph: Leveraging Privacy-Preserving Distributed Link Prediction for Robust Graph Learning—0
Crowdotic: A Privacy-Preserving Hospital Waiting Room Crowd Density Estimation with Non-speech Audio—0
Privacy-preserving Early Detection of Epileptic Seizures in VideosCode0
hear-your-action: human action recognition by ultrasound active sensing—0
Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning—0
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization—0
Mitigating Group Bias in Federated Learning for Heterogeneous Devices—0
Recovering from Privacy-Preserving Masking with Large Language Models—0
Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems—0
SABLE: Secure And Byzantine robust LEarning—0
Compact: Approximating Complex Activation Functions for Secure ComputationCode0
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks—0
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach—0
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learningCode0
FisheyePP4AV: A privacy-preserving method for autonomous vehicles on fisheye camera imagesCode0
Privacy-preserving Continual Federated Clustering via Adaptive Resonance TheoryCode0
Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory—0
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks—0
Domain Adaptation for Efficiently Fine-tuning Vision Transformer with Encrypted Images—0
Secure and Efficient Federated Learning in LEO Constellations using Decentralized Key Generation and On-Orbit Model Aggregation—0
Federated cINN Clustering for Accurate Clustered Federated Learning—0
The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning—0
Generalizability and Application of the Skin Reflectance Estimate Based on Dichromatic Separation (SREDS)Code0
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning—0
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond—0
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