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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Yan Long (University of Michigan), Qinhong Jiang (Zhejiang University), Chen Yan (Zhejiang University), Tobias Alam (University of Michigan), Xiaoyu Ji (Zhejiang University), Wenyuan Xu (Zhejiang University), Kevin Fu (Northeastern University)

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CAGE: Complementing Arm CCA with GPU Extensions

Chenxu Wang (Southern University of Science and Technology (SUSTech) and The Hong Kong Polytechnic University), Fengwei Zhang (Southern University of Science and Technology (SUSTech)), Yunjie Deng (Southern University of Science and Technology (SUSTech)), Kevin Leach (Vanderbilt University), Jiannong Cao (The Hong Kong Polytechnic University), Zhenyu Ning (Hunan University), Shoumeng Yan (Ant Group), Zhengyu He (Ant…

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Automatic Policy Synthesis and Enforcement for Protecting Untrusted Deserialization

Quan Zhang (Tsinghua University), Yiwen Xu (Tsinghua University), Zijing Yin (Tsinghua University), Chijin Zhou (Tsinghua University), Yu Jiang (Tsinghua University)

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Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering

Rui Zhu (Indiana University Bloominton), Di Tang (Indiana University Bloomington), Siyuan Tang (Indiana University Bloomington), Zihao Wang (Indiana University Bloomington), Guanhong Tao (Purdue University), Shiqing Ma (University of Massachusetts Amherst), XiaoFeng Wang (Indiana University Bloomington), Haixu Tang (Indiana University, Bloomington)

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