Eric Dull, Drew Walsh, Scott Riede (Deloitte and Touche)

Cyber has been the original big-data for decades. Since Denning and Neumann’s 1985 whitepaper on statistical analysis for intrusion detection systems1, cyber has seen the need for complex event processors to manage the scale of cyber data. Security Operations Centers (SOCs) have been successful in overcoming this challenge, as evidenced by the rise of behavioral analytics, supervised machine learning methods, training data sets, and the scaling of technology. This talk will describe the strategies used in successful automation, AI adoption, and implementation and offer a framework for engaging executives to help guide effective AI use in the broader organization outside of the SOC.

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Secure Control of Connected and Automated Vehicles Using Trust-Aware...

H M Sabbir Ahmad, Ehsan Sabouni, Akua Dickson (Boston University), Wei Xiao (Massachusetts Institute of Technology), Christos Cassandras, Wenchao Li (Boston University)

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EyeSeeIdentity: Exploring Natural Gaze Behaviour for Implicit User Identification...

L Yasmeen Abdrabou (Lancaster University), Mariam Hassib (Fortiss Research Institute of the Free State of Bavaria), Shuqin Hu (LMU Munich), Ken Pfeuffer (Aarhus University), Mohamed Khamis (University of Glasgow), Andreas Bulling (University of Stuttgart), Florian Alt (University of the Bundeswehr Munich)

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Stacking up the LLM Risks: Applied Machine Learning Security

Dr. Gary McGraw, Berryville Institute of Machine Learning

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GNNIC: Finding Long-Lost Sibling Functions with Abstract Similarity

Qiushi Wu (University of Minnesota), Zhongshu Gu (IBM Research), Hani Jamjoom (IBM Research), Kangjie Lu (University of Minnesota)

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