2 papers
cs.AR2025
Approximate Multiplier Induced Error Propagation in Deep Neural Networks
A. M. H. H. Alahakoon, Hassaan Saadat, Darshana Jayasinghe +1
Deep Neural Networks (DNNs) rely heavily on dense arithmetic operations, motivating the use of Approximate Multipliers (AxMs) to reduce energy consumption in hardware accelerators.…
cs.CR2024
Physical and Software Based Fault Injection Attacks Against TEEs in Mobile Devices: A Systemisation of Knowledge
Aaron Joy, Ben Soh, Zhi Zhang +2
Trusted Execution Environments (TEEs) are critical components of modern secure computing, providing isolated zones in processors to safeguard sensitive data and execute secure oper…