19 citations · 66 across the 11 of their papers we have counts for
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cs.OS2020★ 1 cited
LINTS^RT: A Learning-driven Testbed for Intelligent Scheduling in Embedded Systems
Zelun Kong, Yaswanth Yadlapalli, Soroush Bateni +2
Due to the increasing complexity seen in both workloads and hardware resources in state-of-the-art embedded systems, developing efficient real-time schedulers and the corresponding…
cs.LG2020
Deep Partial Updating: Towards Communication Efficient Updating for On-device Inference
Zhongnan Qu, Cong Liu, Lothar Thiele
Emerging edge intelligence applications require the server to retrain and update deep neural networks deployed on remote edge nodes to leverage newly collected data samples. Unfort…
cs.CR2020
PoisHygiene: Detecting and Mitigating Poisoning Attacks in Neural Networks
Junfeng Guo, Ting Wang, Cong Liu
The black-box nature of deep neural networks (DNNs) facilitates attackers to manipulate the behavior of DNN through data poisoning. Being able to detect and mitigate poisoning atta…