Applications driven by neural networks (NNs) have been advancing various work flows in
industries and everyday life. FPGA accelerators are a popular low latency solution for NN …

Masking has become one of the most effective approaches for securing hardware designs
against side-channel attacks. Regardless of the effort put into correctly implementing …

In recent years, Artificial Intelligence (AI) systems have achieved revolutionary capabilities,
providing intelligent solutions that surpass human skills in many cases. However, such …

Traditionally, there have been two main obstacles for practical power analysis attacks: the
adversary needed physical access to the device, and they had to use sophisticated sensing …

Neural networks have become pivotal in advancing applications across various domains,
including healthcare, finance, surveillance, and autonomous systems. To achieve low …

Cloud computing environments increasingly provision FPGAs because of their fine-grained,
highly parallel, and flexible hardware architecture. The availability of FPGAs in the cloud …

FPGAs have been used in the cloud since several years, as accelerators for various
workloads such as machine learning, database processes and security tasks. As for other …

Physical Unclonable Functions (PUFs) are emerging as a fundamental component of secure
architectures that provide services such as authentication and key generation. A specific …

Garbled circuits (GC) are a secure multiparty computation protocol that enables two parties
to jointly compute a function using their private data without revealing it to each other. While …

In this comprehensive thesis, we present a series of experiments and findings that highlight
the critical importance of TDC Voltage Sensors in the hardware security domain. Our …