2 papers
cs.CR2024
Improving Transferability of Network Intrusion Detection in a Federated Learning Setup
Shreya Ghosh, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal
Network Intrusion Detection Systems (IDS) aim to detect the presence of an intruder by analyzing network packets arriving at an internet connected device. Data-driven deep learning…
cs.LG2024
Data-Driven Subsampling in the Presence of an Adversarial Actor
Abu Shafin Mohammad Mahdee Jameel, Ahmed P. Mohamed, Jinho Yi +2
Deep learning based automatic modulation classification (AMC) has received significant attention owing to its potential applications in both military and civilian use cases. Recent…