9 citations · 16 across the 6 of their papers we have counts for
7 papers
Demystifying Gate-Level Localization of RTL Trojans
Navid Nader Tehrani, Azadeh Davoodi, Rasit Onur Topaloglu
Hardware Trojans are malicious modifications that compromise functionality or leak sensitive data. They pose a severe threat, particularly when inserted at the Register Transfer Le…
Static IR Drop Prediction with Attention U-Net and Saliency-Based Explainability
Lizi Zhang, Azadeh Davoodi
There has been significant recent progress to reduce the computational effort of static IR drop analysis using neural networks, and modeling as an image-to-image translation task.…
Block Pruning for Enhanced Efficiency in Convolutional Neural Networks
Cheng-En Wu, Azadeh Davoodi, Yu Hen Hu
This paper presents a novel approach to network pruning, targeting block pruning in deep neural networks for edge computing environments. Our method diverges from traditional techn…
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization
Shubham Rai, Walter Lau Neto, Yukio Miyasaka +37
Logic synthesis is a fundamental step in hardware design whose goal is to find structural representations of Boolean functions while minimizing delay and area. If the function is c…
Efficient Inference of CNNs via Channel Pruning
Boyu Zhang, Azadeh Davoodi, Yu Hen Hu
The deployment of Convolutional Neural Networks (CNNs) on resource constrained platforms such as mobile devices and embedded systems has been greatly hindered by their high impleme…
Design Rule Violation Hotspot Prediction Based on Neural Network Ensembles
Wei Zeng, Azadeh Davoodi, Yu Hen Hu
Design rule check is a critical step in the physical design of integrated circuits to ensure manufacturability. However, it can be done only after a time-consuming detailed routing…
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks
Boyu Zhang, Azadeh Davoodi, Yu-Hen Hu
The ability to customize a trained Deep Neural Network (DNN) locally using user-specific data may greatly enhance user experiences, reduce development costs, and protect user's pri…