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Full-Text Articles in Computer Engineering
Towards Secure Deep Neural Networks For Cyber-Physical Systems, Jiangnan Li
Towards Secure Deep Neural Networks For Cyber-Physical Systems, Jiangnan Li
Doctoral Dissertations
In recent years, deep neural networks (DNNs) are increasingly investigated in the literature to be employed in cyber-physical systems (CPSs). DNNs own inherent advantages in complex pattern identifying and achieve state-of-the-art performances in many important CPS applications. However, DNN-based systems usually require large datasets for model training, which introduces new data management issues. Meanwhile, research in the computer vision domain demonstrated that the DNNs are highly vulnerable to adversarial examples. Therefore, the security risks of employing DNNs in CPSs applications are of concern.
In this dissertation, we study the security of employing DNNs in CPSs from both the data domain …
A Privacy-Aware Distributed Storage And Replication Middleware For Heterogeneous Computing Platform, Jilong Liao
A Privacy-Aware Distributed Storage And Replication Middleware For Heterogeneous Computing Platform, Jilong Liao
Masters Theses
Cloud computing is an emerging research area that has drawn considerable interest in recent years. However, the current infrastructure raises significant concerns about how to protect users' privacy, in part due to that users are storing their data in the cloud vendors' servers. In this paper, we address this challenge by proposing and implementing a novel middleware, called Uno, which separates the storage of physical data and their associated metadata. In our design, users' physical data are stored locally on those devices under a user's full control, while their metadata can be uploaded to the commercial cloud. To ensure the …