5 papers
FLINT: Fingerprinting Federated Learning Architectures from 5G PHY-Layer Side Channels
Md Nahid Hasan Shuvo, Mahmudul Hassan Ashik, Moinul Hossain
Federated Learning (FL) over 5G cellular networks protects raw data but remains vulnerable to side-channel leakage. Prior fingerprinting attacks assume packet-level network visibil…
PHANTOM: PHysical ANamorphic Threats Obstructing Connected Vehicle Mobility
Md Nahid Hasan Shuvo, Moinul Hossain
Connected autonomous vehicles (CAVs) rely on vision-based deep neural networks (DNNs) and low-latency (Vehicle-to-Everything) V2X communication to navigate safely and efficiently.…
FLARE: A Wireless Side-Channel Fingerprinting Attack on Federated Learning
Md Nahid Hasan Shuvo, Moinul Hossain, Anik Mallik +2
Federated Learning (FL) enables collaborative model training across distributed devices while safeguarding data and user privacy. However, FL remains susceptible to privacy threats…
Fingerprinting Deep Learning Models via Network Traffic Patterns in Federated Learning
Md Nahid Hasan Shuvo, Moinul Hossain
Federated Learning (FL) is increasingly adopted as a decentralized machine learning paradigm due to its capability to preserve data privacy by training models without centralizing…
GND: Global Navigation Dataset with Multi-Modal Perception and Multi-Category Traversability in Outdoor Campus Environments
Jing Liang, Dibyendu Das, Daeun Song +6
Navigating large-scale outdoor environments requires complex reasoning in terms of geometric structures, environmental semantics, and terrain characteristics, which are typically c…