SOTAVerified

Privacy Preserving

Papers

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Showing 1901–1950 of 2975 papers

TitleStatusHype
R+R:Understanding Hyperparameter Effects in DP-SGD—0
RT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark—0
S3ML: A Secure Serving System for Machine Learning Inference—0
S++: A Fast and Deployable Secure-Computation Framework for Privacy-Preserving Neural Network Training—0
Safe Fakes: Evaluating Face Anonymizers for Face Detectors—0
Safeguarding Federated Learning-based Road Condition Classification—0
SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy—0
Sample-based Federated Learning via Mini-batch SSCA—0
Scalable and Differentially Private Distributed Aggregation in the Shuffled Model—0
Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection—0
Scalable Collaborative Learning via Representation Sharing—0
Scalable Differential Privacy With Sparse Network Finetuning—0
Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories—0
Decentralized and Privacy-Preserving Learning of Approximate Stackelberg Solutions in Energy Trading Games with Demand Response Aggregators—0
Scalable privacy-preserving cancer type prediction with homomorphic encryption—0
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference—0
Scale Invariant Privacy Preserving Video via Wavelet Decomposition—0
ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression—0
SCALE: Self-regulated Clustered federAted LEarning in a Homogeneous Environment—0
Scaling Unsupervised Domain Adaptation through Optimal Collaborator Selection and Lazy Discriminator Synchronization—0
Scaling up the Banded Matrix Factorization Mechanism for Differentially Private ML—0
SEALion: a Framework for Neural Network Inference on Encrypted Data—0
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models—0
Secure and Differentially Private Bayesian Learning on Distributed Data—0
Secure and Efficient Federated Learning in LEO Constellations using Decentralized Key Generation and On-Orbit Model Aggregation—0
A Network-Constrained Demand Response Game for Procuring Energy Balancing Services—0
Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization—0
Secure and Privacy-Preserving Federated Learning via Co-Utility—0
Secure and Privacy Preserving Proxy Biometrics Identities—0
Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation—0
Secure and Robust Machine Learning for Healthcare: A Survey—0
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization—0
Secure Bayesian Federated Analytics for Privacy-Preserving Trend Detection—0
SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree—0
SecureBoost: A Lossless Federated Learning Framework—0
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning—0
Secure Byzantine-Robust Distributed Learning via Clustering—0
Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System—0
Secure Federated Data Distillation—0
Secure Federated Graph-Filtering for Recommender Systems—0
Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources -- A Case Study on Federated Fine-tuning of LLaMA 2—0
Privacy-preserving Federated Learning for Residential Short Term Load Forecasting—0
Secure Federated Transfer Learning—0
Secure Forward Aggregation for Vertical Federated Neural Networks—0
Secure Friend Discovery via Privacy-Preserving and Decentralized Community Detection—0
Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism—0
SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography—0
Secure Multi-Party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data—0
Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems—0
Secure Multi-party Computation for Cloud-based Control—0
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