Mahmoud Abumandour is a first-year PhD student at
Simon Fraser University, supervised by
Professor Alaa Alameldeen. He
is interested in a wide spectrum of technologies from software
systems to hardware and their interaction.
His current research concentration is securing deep learning applications
running on edge devices against fault injection attacks.
Experience
Assessed the impact of different attack vectors against quantized DNNs
Devised a fatal bit-flip attack against quantized DNNs (including LLMs) and
explored potential defenses
Researched, modelled, and assessed CPU front-end features, including
instruction prefetching
and caching
Performed in-depth workload analysis to categorize based on instruction
icache footprint and
branch behavior
Analyzed sources of miscorrelation between functional and cycle-accurate
simulators
Used profiler-guided optimizations to achieve 8x performance improvement in
the release
generation process
