TY - GEN
T1 - ACM KDD AI4Cyber/MLHat
T2 - 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022
AU - Samtani, Sagar
AU - Wang, Gang
AU - Ahmadzadeh, Ali
AU - Ciptadi, Arridhana
AU - Yang, Shanchieh
AU - Chen, Hsinchun
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/8/14
Y1 - 2022/8/14
N2 - 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.
AB - 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.
KW - analytics
KW - artificial intelligence
KW - cybersecurity
KW - deployable defense
KW - machine learning
UR - http://www.scopus.com/inward/record.url?scp=85137146057&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85137146057&partnerID=8YFLogxK
U2 - 10.1145/3534678.3542894
DO - 10.1145/3534678.3542894
M3 - Conference contribution
AN - SCOPUS:85137146057
T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
SP - 4900
EP - 4901
BT - KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
PB - Association for Computing Machinery
Y2 - 14 August 2022 through 18 August 2022
ER -