Reinforcement Learning-Based Efficient Multi-Exit Neural Networks Against Side-Channel Attacks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2025.3628121
Abstract: Distributed multi-exit neural networks (MeNNs) enable mobile devices to handle complex tasks such as image classification, but their performance is highly dependent on transmission quality and is therefore vulnerable to side-channel attacks. In this paper,… read more here.
Keywords: side channel; exit neural; channel attacks; channel ... See more keywords
SatCooper: Enhancing Cooperative Inference Analytics for Satellite Service via Multi-Exit DNNs
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2025.3556457
Abstract: As a key technology of intelligent satellite-enabled services in B5G or 6G networks, deploying Deep Neural Networks (DNN) models on satellites has been a notable trend, catering to the daily demand for extensive computing-intensive and… read more here.
Keywords: satcooper enhancing; exit; cooperative inference; inference ... See more keywords