Advancing Cyber Defense Systems through Machine Learning, Deep Learning, and Large Language Models
January 16 @ 1:00 pm - 2:30 pm
As cyber-attacks grow increasingly sophisticated and large-scale, they present escalating challenges to the security of modern networked systems. This presentation reviews recent advances in cyber-attack detection through machine learning and deep learning, examining their capabilities as well as their current limitations. I will share my recent research on integrating forecasting, anomaly detection, explainable AI, and large language models (LLMs) to develop intelligent and autonomous mitigation frameworks. The talk will conclude by outlining future directions for next-generation cyber defense, with a focus on explainability, privacy-preserving techniques, and adaptive response <a href="http://mechanisms.
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Speaker(s): Sajal Saha,
Room: 4520, Bldg: Building 10, 3333 University Way, Prince George, British Columbia, Canada, V2N 4Z9