Skip navigation
Home
Browse
Communities
Browse Items by:
Date
Author
Title
Subject
Related Sites
eVols Repository
UH System Repository
Hamilton Library Home Page
Research Tools
Personal Services
About the Library
Sign on to:
My ScholarSpace
Receive email
updates
Edit Profile
Home
Hawaii International … Sciences (HICSS)
Hawaii International … Sciences 2021
Decision Analytics … Service Science
Accountability, Evaluation, and Obscurity of AI Algorithms
Accountability, Evaluation, and Obscurity of AI Algorithms
Browse the Collection
Recent Submissions
The Effect of Training Set Timeframe on the Future Performance of Machine Learning-based Malware Detection Models
How Useful are Hand-crafted Data? Making Cases for Anomaly Detection Methods
Bias in Geographic Information Systems: The Case of Google Maps
An Adversarial Training Based Machine Learning Approach to Malware Classification under Adversarial Conditions
Introduction to the Minitrack on Accountability, Evaluation, and Obscurity of AI Algorithms
Discover
Author
2
Steele, Robert
1
Bastian, Nathaniel
1
Devine, Sean
1
Du, Len
1
Galen, Colin
1
Human, Soheil
1
Hutter, Marcus
1
Juric, Radmila
1
Wagner, Ben
1
Winkler, Till
Subject
5
Accountability, Evaluation, and Obscurity of AI...
2
machine learning
1
accountability
1
adversarial training
1
ai system assurance
1
anomaly detection
1
artificial intelligence
1
bias
1
cybersecurity
1
evaluation
.
next >
Date issued
5
2021
Search
Collection Statistics
View Usage Statistics
RSS Feeds
rss 1.0
rss 2.0
atom 1.0