The Cyber Science Lab (CSL) is a not-for-profit research lab based in the School of Computer Science, Ontario, Canada. CSL is focused on advancing knowledge and practice in security and privacy of machine learning systems and to build trustable ML agents for a variety of threat hunting, threat attribution and digital forensics tasks.

CSL’s researchers are working on different ML security and privacy challenges including wide-range of poisoning and evasion attacks in the adversarial setting, defensive mechanisms, approaches to hardening ML and methods to preserve differential privacy. Furthermore, CSL’s researchers are working on novel ML-based approaches to apply on security and digital forensic domains.

Research Areas

Security of Critical Infrastructure

Security of Critical Infrastructure

Emergence of IoT devices and applications, introduced many new challenges for cybersecurity community. Cyber Science Lab has an extensive research...

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Cyber Threat Hunting and Malware Analysis

Cyber Threat Hunting and Malware Analysis

Cyberattack triage is among most complicated and time-consuming tasks of security analysts. These triage activities are mainly focused on...

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Security of AI Systems

Security of AI Systems

Machine learning algorithms are developed for stationary environments. However, intelligent and adaptive adversaries can carefully craft input...

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