2 papers
cs.CR2023
Quantization-aware Neural Architectural Search for Intrusion Detection
Rabin Yu Acharya, Laurens Le Jeune, Nele Mentens +2
Deploying machine learning-based intrusion detection systems (IDSs) on hardware devices is challenging due to their limited computational resources, power consumption, and network…
cs.CR2022
HWGN2: Side-channel Protected Neural Networks through Secure and Private Function Evaluation
Mohammad Hashemi, Steffi Roy, Domenic Forte +1
Recent work has highlighted the risks of intellectual property (IP) piracy of deep learning (DL) models from the side-channel leakage of DL hardware accelerators. In response, to p…