Senior R&D Engineer


Lawrence Liu is a leading member of the R&D team here at PUFsecurity, bringing over 25 years of experience working with NAND Flash, NOR Flash, and DRAM. Before specializing in the field of memory design, he graduated from the mid-peninsula university affectionately known as “The Farm” with BSEE/MSEE specializing in computer architecture.

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Preparing for Post-Quantum Cryptography: Trust is the Key - Blog

January 23, 2024

The era of quantum computing is on its way as governments and private sectors have been taking steps to standardize quantum cryptography. With the advent of the new era, we are faced with new opportunities and challenges. This article will outline the potential impact of quantum computing and discuss strategies for preparing ourselves amid these anticipated changes.


Securing System-on-Chips: Hardware Protection in the Age of Chiplets - Blog

May 01, 2023

It seems that almost weekly, the semiconductor industry’s all-encompassing barometer, Moore’s Law, is pronounced dead, dying, or actually healthier than ever. As the debate continues to speculate on its health, there is an unequivocal certainty that singular monolithic chip designs are simply becoming unsustainable as FinFET technology replaces a larger slice of the traditional 2D planar gate market.


Are Set-Top Boxes the Next Cybersecurity Threat? - Blog

October 17, 2022

The Set-top box (STB) market is, in many ways, the perfect case study of the challenges facing IoT security today. It is a mature market valued globally at $22.6B in 2020 (by Grand View Research) and appears unlikely to see significant upheaval over the coming years. Take a step back, however, and the picture becomes less predictable, as Hybrid cable boxes now support a much broader suite of functions. And with that, a new set of security challenges.


Securing the AIoT: Safeguarding AI at the Edge - Blog

August 10, 2022

Edge AI computing has been a trending topic in recent years. The market was already valued at $9 billion in 2020, projected to surpass $60 billion by 2030 (Allied Market Research). Initially driven by computer vision systems (particularly for use in autonomous vehicles – no pun intended), the proliferation of other edge applications, such as advanced noise cancellation and spatial audio, has further accelerated the growth of the Edge AI computing market.

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