11 citations · 44 across the 10 of their papers we have counts for
10 papers
TypeScript's Evolution: An Analysis of Feature Adoption Over Time
Joshua D. Scarsbrook, Mark Utting, Ryan K. L. Ko
TypeScript is a quickly evolving superset of JavaScript with active development of new features. Our paper seeks to understand how quickly these features are adopted by the develop…
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization
Jonathan Wilton, Abigail M. Y. Koay, Ryan K. L. Ko +2
The need to learn from positive and unlabeled data, or PU learning, arises in many applications and has attracted increasing interest. While random forests are known to perform wel…
Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning
Yanjun Zhang, Guangdong Bai, Xue Li +2
Federated learning enables multiple participants to collaboratively train a model without aggregating the training data. Although the training data are kept within each participant…
ColdPress: An Extensible Malware Analysis Platform for Threat Intelligence
Haoxi Tan, Mahin Chandramohan, Cristina Cifuentes +2
Malware analysis is still largely a manual task. This slow and inefficient approach does not scale to the exponential rise in the rate of new unique malware generated. Hence, autom…
An Analytics Framework for Heuristic Inference Attacks against Industrial Control Systems
Taejun Choi, Guangdong Bai, Ryan K L Ko +3
Industrial control systems (ICS) of critical infrastructure are increasingly connected to the Internet for remote site management at scale. However, cyber attacks against ICS - esp…
Cyber Autonomy: Automating the Hacker- Self-healing, self-adaptive, automatic cyber defense systems and their impact to the industry, society and national security
Ryan K L Ko
This paper sets the context for the urgency for cyber autonomy, and the current gaps of the cyber security industry. A novel framework proposing four phases of maturity for full cy…