ACM KDD AI4Cyber/MLHat: Workshop on AI-enabled Cybersecurity Analytics and Deployable Defense
ACM KDD AI4Cyber/MLHat: Workshop on AI-enabled Cybersecurity Analytics and Deployable Defense
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ACM KDD AI4Cyber/MLHat：人工智能网络安全分析和可部署防御研讨会
DOI：
10.1145/3534678.3542894
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Chen, Hsinchun
中科院分区：
文献类型：
--
作者：
Samtani, Sagar;Wang, Gang;Ahmadzadeh, Ali;Ciptadi, Arridhana;Yang, Shanchieh;Chen, Hsinchun
联邦资助机构和行业实体正在寻求创新方法来解决日益严重的网络安全危机。越来越多的网络安全思想领袖表示，人工智能（AI）支持的分析可以帮助解决关键的网络安全任务和部署防御。这个为期半天的研讨会与ACM KDD位于同一地点，旨在从学术界和从业者那里获得对网络安全应用和可部署防御解决方案的人工智能分析各个方面的重大研究贡献。该研讨会是2021年人工智能网络安全分析和2021年可部署机器学习安全防御国际研讨会的联合研讨会。因此，我们开发了一个跨学科的计划委员会，在人工智能，网络安全和/或可部署防御的各个方面都有丰富的经验。
Federal funding agencies and industry entities are seeking innovative approaches to address the ever-growing cybersecurity crisis. Increasingly, numerous cybersecurity thought leaders are indicating that Artificial Intelligence (AI)-enabled analytics can help tackle key cybersecurity tasks and deploy defenses. This half-day workshop, co-located with ACM KDD, sought to attain significant research contributions to various aspects of AI-enabled analytics for cybersecurity applications and deployable defense solutions from academics and practitioners. This workshop was a joint workshop of the 2021 AI-enabled Cybersecurity Analytics and 2021 International Workshop on Deployable Machine Learning for Security Defense. As such, we developed an interdisciplinary Program Committee with significant experience in various aspects of AI, cybersecurity, and/or deployable defense.