Testing DNN image classifiers for confusion & bias errors

Image classifiers are an important component of today's software, from consumer and business applications to safety-critical domains. The advent of Deep Neural Networks (DNNs) is the key catalyst behind such wide-spread success. However, wide adoption comes with serious concerns about the robus...

Full description

Saved in:
Bibliographic Details
Main Authors: Tian, Yuchi, Zhong, Ziyuan, Ordonez, Vicente, Kaiser, Gail, Ray, Baishakhi
Format: Conference Proceeding
Language:English
Subjects:
bias
Computing methodologies > Machine learning > Machine learning approaches > Neural networks
deep learning
DNNs
image classifiers
Software and its engineering > Software creation and management > Software verification and validation > Software defect analysis > Software testing and debugging
whitebox testing
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!