8th Workshop on Machine Learning in Finance

Saurabh Nagrecha, Isha Chaturvedi, Senthil Kumar, Nitesh Chawla, Mahashweta Das, Daksha Yadav, Jose A. Rodriguez-Serrano, Eren Kurshan

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

Resum

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.

Idioma originalAnglès
Títol de la publicacióKDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
EditorAssociation for Computing Machinery
Pàgines6288-6289
Nombre de pàgines2
ISBN (electrònic)9798400714542
DOIs
Estat de la publicacióPublicada - 3 d’ag. 2025
Esdeveniment31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025 - Toronto, Canada
Durada: 3 d’ag. 20257 d’ag. 2025

Sèrie de publicacions

NomProceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Volum2
ISSN (imprès)2154-817X

Conferència

Conferència31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025
País/TerritoriCanada
CiutatToronto
Període3/08/257/08/25

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