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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Stacking up the LLM Risks: Applied Machine Learning Security

Dr. Gary McGraw, Berryville Institute of Machine Learning

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Crafter: Facial Feature Crafting against Inversion-based Identity Theft on...

Shiming Wang (Shanghai Jiao Tong University), Zhe Ji (Shanghai Jiao Tong University), Liyao Xiang (Shanghai Jiao Tong University), Hao Zhang (Shanghai Jiao Tong University), Xinbing Wang (Shanghai Jiao Tong University), Chenghu Zhou (Chinese Academy of Sciences), Bo Li (Hong Kong University of Science and Technology)

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Compensating Removed Frequency Components: Thwarting Voice Spectrum Reduction Attacks

Shu Wang (George Mason University), Kun Sun (George Mason University), Qi Li (Tsinghua University)

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