Tim Pappa (Walmart)

Cyber threat actors generally create branding content to promote their reputation. While threat actor branding content could include carders masquerading as hacktivists, for example, the reputational branding of cyber threat actors is generally considered to be a singular, symbolic display of their threat and capabilities. This presentation suggests that Security Operations Centers (SOC) and cyber threat intelligence communities could proactively collect unique forensic and observational behavioral threat information on threat actors by manipulating their reputational content, anticipating threat actors will respond or react behaviorally when their reputations are questioned or ridiculed publicly. This presentation is exploratory, recognizing that most accounts of manipulating cyber threat actor reputational content are anecdotal. This presentation proposes an integrated conceptual interpretation of the foundational theoretical frameworks that explain why and how people respond behaviorally to content made for them, applied in a context of influencing threat actors with generative artificial intelligence content.

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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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Takami Sato, Ningfei Wang (University of California, Irvine), Yueqiang Cheng (NIO Security Research), Qi Alfred Chen (University of California, Irvine)

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Christopher Rodman, Breanna Kraus, Justin Novak (SEI/CERT)

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Bernoulli Honeywords

Ke Coby Wang (Duke University), Michael K. Reiter (Duke University)

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