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Privacy Preserving

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Showing 2076–2100 of 2975 papers

TitleStatusHype
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
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