Browse wiki

From ISLAB/CAISR
Resilience of ML Hardware Accelerators Against Accuracy Degrading Trojans
Level Master  +
OneLineSummary The goal of this project is to assess the resilience of machine learning (ML) hardware accelerators, with a specific focus on Convolutional Neural Network (CNN) accelerators, when subjected to Trojan attacks aimed at degrading their accuracy.  +
StudentProjectStatus Open  +
Supervisors Mahdi Fazeli +
ThesisAuthor Mahdi Fazeli and Ahmad Patooghy  +
Title Resilience of ML Hardware Accelerators Against Accuracy Degrading Trojans  +
Categories StudentProject  +
Modification dateThis property is a special property in this wiki. 16 September 2024 12:37:18  +
hide properties that link here 
  No properties link to this page.
 

 

Enter the name of the page to start browsing from.
Retrieved from "https://wiki.hh.se/caisr/index.php/Special:Browse/Resilience-20of-20ML-20Hardware-20Accelerators-20Against-20Accuracy-20Degrading-20Trojans"