Jul 4, 2024 · This paper introduces new time-aware scheduling schemes - DeepTrust^RT - to securely execute deep neural inferences for learning-enabled real- ...
Hence, our research aims to address the following problem. 71. The confidentiality of DNN models running on an untrusted device can be maintained by executing ...
This paper introduces new time-aware scheduling schemes - DeepTrust^RT - to securely execute deep neural inferences for learning-enabled real-time systems. We ...
Abstract. Deep Neural Networks (DNNs) are becoming common in “learning-enabled” time-critical applications such as autonomous driving and robotics.
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DeepTrust^RT: Confidential Deep Neural Inference Meets Real-Time! (doi) Mohammad Fakhruddin Babar (Washington State University, USA) and Monowar Hasan ...
DeepTrust^ RT: Confidential Deep Neural Inference Meets Real-Time! MF Babar, M Hasan. 36th Euromicro Conference on Real-Time Systems (ECRTS 2024), 2024. 2024 ...
The Omnivisor: A real-time static partitioning hypervisor extension for heterogeneous core virtualization. ... DeepTrust^RT: Confidential Deep Neural Inference ...
DeepTrust^ RT: Confidential Deep Neural Inference Meets Real-Time! MF Babar, M Hasan. 36th Euromicro Conference on Real-Time Systems (ECRTS 2024), 2024. 2024 ...
Jul 4, 2024 · 36th Euromicro Conference on Real-Time Systems, ECRTS 2024 ... DeepTrust^RT: Confidential Deep Neural Inference Meets Real-Time! 13 ...
Feb 2, 2024 · By strategic design, the theme for 2024 TechNet Cyber is “Outpacing the Threat: Alight, Adapt,. Accelerate.” It is challenging to describe ...
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