9 citations · 22 across the 4 of their papers we have counts for
4 papers
Microscaling Data Formats for Deep Learning
Bita Darvish Rouhani, Ritchie Zhao, Ankit More +30
Narrow bit-width data formats are key to reducing the computational and storage costs of modern deep learning applications. This paper evaluates Microscaling (MX) data formats that…
With Shared Microexponents, A Little Shifting Goes a Long Way
Bita Rouhani, Ritchie Zhao, Venmugil Elango +19
This paper introduces Block Data Representations (BDR), a framework for exploring and evaluating a wide spectrum of narrow-precision formats for deep learning. It enables compariso…
A Neural Network-based SAT-Resilient Obfuscation Towards Enhanced Logic Locking
Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad +2
Logic obfuscation is introduced as a pivotal defense against multiple hardware threats on Integrated Circuits (ICs), including reverse engineering (RE) and intellectual property (I…
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning
Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad +4
Circuit obfuscation is a recently proposed defense mechanism to protect digital integrated circuits (ICs) from reverse engineering by using camouflaged gates i.e., logic gates whos…