3 papers
cs.LG2025
Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge
Alexandre Broggi, Nathaniel Bastian, Lance Fiondella +1
Artificial neural network pruning is a method in which artificial neural network sizes can be reduced while attempting to preserve the predicting capabilities of the network. This…
cs.DC2025
Availability Modeling for Blockchain Provisioning in Private Clouds
J Dantas, P Silva, L Fiondella +2
Blockchain technology has emerged, and many previous studies have assessed its performance issues. However, less attention has been paid to the dependability attributes, which have…
stat.AP2025
Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability
Simin Zheng, Jared M. Clark, Fatemeh Salboukh +10
Artificial intelligence (AI) technology and systems have been advancing rapidly. However, ensuring the reliability of these systems is crucial for fostering public confidence in th…