Cherlynn Cha (ExpressVPN)

Alerts serve as the backbone of most SOCs, but alerts alone cannot detect modern, advanced threats without being so noisy that they quickly induce analyst fatigue. Threat hunting has arisen as a complement to alerting, but most SOCs do not operationalize threat hunting with the same rigor as alerting. In this session, we will discuss how SOC teams can overcome this through a model we call Continuous Threat Hunting: using analytic-driven methods to cover more data, but with a standardized approach designed to produce repeatability, effectiveness, and confidence in result.

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Detecting Voice Cloning Attacks via Timbre Watermarking

Chang Liu (University of Science and Technology of China), Jie Zhang (Nanyang Technological University), Tianwei Zhang (Nanyang Technological University), Xi Yang (University of Science and Technology of China), Weiming Zhang (University of Science and Technology of China), NengHai Yu (University of Science and Technology of China)

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Modeling and Detecting Internet Censorship Events

Elisa Tsai (University of Michigan), Ram Sundara Raman (University of Michigan), Atul Prakash (University of Michigan), Roya Ensafi (University of Michigan)

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Aligning Confidential Computing with Cloud-native ML Platforms

Angelo Ruocco, Chris Porter, Claudio Carvalho, Daniele Buono, Derren Dunn, Hubertus Franke, James Bottomley, Marcio Silva, Mengmei Ye, Niteesh Dubey, Tobin Feldman-Fitzthum (IBM Research)

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AVMON: Securing Autonomous Vehicles by Learning Control Invariants and...

Ahmed Abdo, Sakib Md Bin Malek, Xuanpeng Zhao, Nael Abu-Ghazaleh (University of California, Riverside)

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