TY - GEN
T1 - 8th Workshop on Machine Learning in Finance
AU - Nagrecha, Saurabh
AU - Chaturvedi, Isha
AU - Kumar, Senthil
AU - Chawla, Nitesh
AU - Das, Mahashweta
AU - Yadav, Daksha
AU - Rodriguez-Serrano, Jose A.
AU - Kurshan, Eren
N1 - Publisher Copyright:
© 2025 Owner/Author.
PY - 2025/8/3
Y1 - 2025/8/3
N2 - The financial industry leverages machine learning in more ways than just finding the right alpha signal. It grapples with supply chains, business processes, marketing, churn, fraud, and money laundering, all while maintaining compliance with the various regulatory frameworks it is beholden to. Due to the sheer volume of wealth being handled by the financial industry and its critical role in everyday life, it has been a lucrative target for a wide spectrum of ever-evolving bad actors. With each successive iteration of this workshop, we have attempted to capture the breadth of these actors-fraudsters, money launderers, market manipulators, and potentially nation-state-level risks. The emerging advances in Generative AI make this a particularly exciting time to host this workshop. GenAI offers groundbreaking approaches to handling the various data types prevalent in the financial sector. From a security point of view, bad actors are actively using Generative AI creatively to thwart conventional defenses (e.g. voice cloning, better synthetic identities), and this workshop's audience would benefit from commonly applicable defenses & best practices against such threats. Last but not the least, there is now an increasing willingness from the financial industry towards deeper engagement and data sharing with academia.
AB - The financial industry leverages machine learning in more ways than just finding the right alpha signal. It grapples with supply chains, business processes, marketing, churn, fraud, and money laundering, all while maintaining compliance with the various regulatory frameworks it is beholden to. Due to the sheer volume of wealth being handled by the financial industry and its critical role in everyday life, it has been a lucrative target for a wide spectrum of ever-evolving bad actors. With each successive iteration of this workshop, we have attempted to capture the breadth of these actors-fraudsters, money launderers, market manipulators, and potentially nation-state-level risks. The emerging advances in Generative AI make this a particularly exciting time to host this workshop. GenAI offers groundbreaking approaches to handling the various data types prevalent in the financial sector. From a security point of view, bad actors are actively using Generative AI creatively to thwart conventional defenses (e.g. voice cloning, better synthetic identities), and this workshop's audience would benefit from commonly applicable defenses & best practices against such threats. Last but not the least, there is now an increasing willingness from the financial industry towards deeper engagement and data sharing with academia.
KW - ai
KW - finance
KW - genai
KW - machine learning
UR - https://www.scopus.com/pages/publications/105014313380
U2 - 10.1145/3711896.3737860
DO - 10.1145/3711896.3737860
M3 - Conference contribution
AN - SCOPUS:105014313380
T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
SP - 6288
EP - 6289
BT - KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
PB - Association for Computing Machinery
T2 - 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025
Y2 - 3 August 2025 through 7 August 2025
ER -