FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning
Authors: Zhihao Zeng, Ziquan Fang, Wei Shao, Lu Chen, Yunjun Gao | Published: 2025-05-08
モデル設計
Contextual Chart Generation for Cyber Deception
Authors: David D. Nguyen, David Liebowitz, Surya Nepal, Salil S. Kanhere, Sharif Abuadbba | Published: 2024-04-07
Federated Bayesian Network Ensembles
Authors: Florian van Daalen, Lianne Ippel, Andre Dekker, Inigo Bermejo | Published: 2024-02-19
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors
Authors: Samuel Stevens, Emily Wenger, Cathy Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin Lauter | Published: 2024-02-02
A Method for Network Intrusion Detection Using Flow Sequence and BERT Framework
Authors: Loc Gia Nguyen, Kohei Watabe | Published: 2023-10-26
Privately Aligning Language Models with Reinforcement Learning
Authors: Fan Wu, Huseyin A. Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan Kulkarni, Robert Sim | Published: 2023-10-25 | Updated: 2024-05-03
Radio Frequency Fingerprinting via Deep Learning: Challenges and Opportunities
Authors: Saeif Al-Hazbi, Ahmed Hussain, Savio Sciancalepore, Gabriele Oligeri, Panos Papadimitratos | Published: 2023-10-25 | Updated: 2024-04-15
Privacy Amplification for Matrix Mechanisms
Authors: Christopher A. Choquette-Choo, Arun Ganesh, Thomas Steinke, Abhradeep Thakurta | Published: 2023-10-24 | Updated: 2024-05-04
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
Authors: Ye Tian, Haolei Weng, Yang Feng | Published: 2023-10-23 | Updated: 2024-06-14
B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction
Authors: Hao Guo, Collin Meese, Wanxin Li, Chien-Chung Shen, Mark Nejad | Published: 2023-10-23