8th Workshop on Machine Learning in Finance

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.

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Publication Details

Published
2025-08-03
DOI
https://doi.org/10.1145/3711896.3737860
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
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article

8th Workshop on Machine Learning in Finance

Mahashweta Das, José A. Rodríguez-Serrano, Isha Chaturvedi, Nitesh V. Chawla et al.
Stock Market Forecasting Methods
article

8th Workshop on Machine Learning in Finance

Mahashweta Das, José A. Rodríguez-Serrano, Isha Chaturvedi, Nitesh V. Chawla, Daksha Yadav, Eren Kurshan, Saurabh Nagrecha, Senthil Kumar
article en

Abstract

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.

University of Notre Dame (US), Google (United States) (US), Capital One (United States) (US), Amazon (United States) (US), Visa (United States) (US), Universitat Ramon Llull (ES), Columbia University (US)
Decent work and economic growth
Openalex Percentile: Top 77%
Stock Market Forecasting Methods
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