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cs.LG2025
TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic Representation
Tianyu Cui, Xinjie Lin, Sijia Li +4
Machine learning (ML) powered network traffic analysis has been widely used for the purpose of threat detection. Unfortunately, their generalization across different tasks and unse…
cs.LG2024
Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach
Qi Tan, Qi Li, Yi Zhao +3
Federated Learning (FL) trains a black-box and high-dimensional model among different clients by exchanging parameters instead of direct data sharing, which mitigates the privacy l…