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Schedule
2021
Monday, January 4th
12:00 AM

An Adversarial Training Based Machine Learning Approach to Malware Classification under Adversarial Conditions

Sean Devine, United States Army
Nathaniel Bastian, Army Cyber Institute, U.S. Military Academy

Online

12:00 AM - 12:00 AM

12:00 AM

Bias in Geographic Information Systems: The Case of Google Maps

Ben Wagner, TBA
Soheil Human, Vienna University of Economics and Business
Till Winkler, Vienna University of Economics and Business

Online

12:00 AM - 12:00 AM

12:00 AM

How Useful are Hand-crafted Data? Making Cases for Anomaly Detection Methods

Len Du, United Australian Artificial Intelligence
Marcus Hutter, Australian National University

Online

12:00 AM - 12:00 AM

12:00 AM

Introduction to the Minitrack on Accountability, Evaluation, and Obscurity of AI Algorithms

Radmila Juric, University of South East Norway
Robert Steele, Capitol Technology University

Online

12:00 AM - 12:00 AM

12:00 AM

The Effect of Training Set Timeframe on the Future Performance of Machine Learning-based Malware Detection Models

Colin Galen, Capitol Technology University
Robert Steele, Capitol Technology University

Online

12:00 AM - 12:00 AM