As the global data strategy deepens and data elements accelerate integrating and flowing
more rapidly, the demand for data security and privacy protection has become increasingly …

The emergence of a large variety of compute-intensive applications has made hardware
accelerators a new necessity to deploy the corresponding high-complexity algorithms, such …

With the trend of processing a large volume of sensitive data on PaaS services (eg, DNN
training), a TEE architecture that supports general heterogeneous accelerators, enables …

This article presents a critical literature review on the security aspects of field-programmable
gate array (FPGA) devices. FPGA devices present unique challenges to cybersecurity …

Despite of their benefits, existing Trusted Execution Environments (TEE) or enclaves have
been criticized for lack of transparency, vulnerabilities, and various restrictions. A significant …

Many applications have been offloaded onto cloud environments to achieve higher agility,
access to more powerful computational resources, and obtain better infrastructure …

Privacy and security challenges in Machine Learning (ML) have become increasingly
severe, along with ML's pervasive development and the recent demonstration of large attack …

Federated learning has emerged as a promising technique for the Internet of Things (IoT) in
various domains, including supply chain management. It enables IoT devices to …

Trusted execution environment (TEE) technology has found many applications in mitigating
various security risks in an efficient manner, which is attractive for critical infrastructure …

Flexibility and reconfigurability make field-programmable gate arrays (FPGAs) ideal for IoT
applications because they enable efficient customization and optimization of hardware …