SOTAVerified

Privacy Preserving

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2051–2100 of 2975 papers

TitleStatusHype
Synthetic Data Generation with LLM for Improved Depression Prediction—0
Synthetic Data: Revisiting the Privacy-Utility Trade-off—0
Synthetic Dataset Generation for Privacy-Preserving Machine Learning—0
TableGuard -- Securing Structured & Unstructured Data—0
Tackling Data Heterogeneity in Federated Time Series Forecasting—0
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization—0
TAEGAN: Generating Synthetic Tabular Data For Data Augmentation—0
TAPESTRY: A Blockchain based Service for Trusted Interaction Online—0
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning—0
Targeted Data Fusion for Causal Survival Analysis Under Distribution Shift—0
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training—0
ConfusionPrompt: Practical Private Inference for Online Large Language Models—0
Temporal Gradient Inversion Attacks with Robust Optimization—0
Temporal-Guided Spiking Neural Networks for Event-Based Human Action Recognition—0
Temporally coherent video anonymization through GAN inpainting—0
Ten Challenging Problems in Federated Foundation Models—0
Tetrad: Actively Secure 4PC for Secure Training and Inference—0
Comet: A Communication-efficient and Performant Approximation for Private Transformer Inference—0
TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation—0
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs—0
The Capacity of Multi-user Private Information Retrieval for Computationally Limited Databases—0
The Challenge of Differentially Private Screening Rules—0
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy—0
FedEGG: Federated Learning with Explicit Global Guidance—0
The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective—0
The Effects of Data Imbalance Under a Federated Learning Approach for Credit Risk Forecasting—0
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers—0
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning—0
The Large Margin Mechanism for Differentially Private Maximization—0
The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks—0
The Need for Inherently Privacy-Preserving Vision in Trustworthy Autonomous Systems—0
The Noisy Power Method: A Meta Algorithm with Applications—0
Theoretical Analysis of Privacy Leakage in Trustworthy Federated Learning: A Perspective from Linear Algebra and Optimization Theory—0
Theoretical Guarantees for Model Auditing with Finite Adversaries—0
The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to Improve Generalization, Stability, and Privacy in Federated Learning—0
The Robustness of Spiking Neural Networks in Federated Learning with Compression Against Non-omniscient Byzantine Attacks—0
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector—0
The Sandwich meta-framework for architecture agnostic deep privacy-preserving transfer learning for non-invasive brainwave decoding—0
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption—0
Thousand Voices of Trauma: A Large-Scale Synthetic Dataset for Modeling Prolonged Exposure Therapy Conversations—0
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges—0
TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers—0
HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data—0
Time-triggered Federated Learning over Wireless Networks—0
To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects—0
Token-Level Privacy in Large Language Models—0
Topology-Based Reconstruction Prevention for Decentralised Learning—0
To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems?—0
Toward a Robust Diversity-Based Model to Detect Changes of Context—0
Toward Privacy and Utility Preserving Image Representation—0
Show:102550
← PrevPage 42 of 60Next →

No leaderboard results yet.