Data Poisoning: An Emerging Threat for Machine Learning Adoption
Experts from IBM and Bank of China say they're on the lookout for this emerging threat, as machine learning gains in popularity.
Slowly, banks are looking to incorporate machine learning into their front-end operations. As machine learning models become more prevalent in finance, experts warn that banks need to be on the lookout for a lurking threat: data poisoning.
Machine learning models are made by humans, and it’s those humans that bank executives need to be monitoring, says Gary Yiu, head of IT audit at Bank of China (Hong Kong), as “malicious users can inject false training data with the aim of corrupting the
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Data Management
BlackRock Aladdin prioritizing semantic layer for agentic AI
The asset manager’s tech platform is spending “a lot of time thinking about” semantics before it rolls out AI for a variety of tasks, says Aladdin exec.
The impact of market data and alt data converging
The Waters Wrap: As firms combine traditional data sources with proprietary research and alt-data signals, Max has some questions about where the data market is headed.
GPU compute derivatives are put to the test
Interest rates and onions of the past haunt what could be a booming new index market.
MEMX’s new options venue, ICE launches private credit reference data, and more
The Waters Cooler: A recap of the major tech and data news from the past week in the capital markets.
After funding boost, Databento preps data expansion
After recently announcing $97 million in funding, the vendor is pressing ahead with global expansion plans.
Can AI beat exceptions out of the back office?
The Waters Wrap: Agentic AI can help operations teams tackle exceptions. But first, they need to get their house in order, writes Wei-Shen.
SIX launches market data platform designed for accessibility
SIX Market Signal aims to bring price transparency, ease of use, and reduced administrative burden to the maddening world of market data.
ISS Stoxx’s new analytics, S&P and Kaiko launch joint indexes, and more
The Waters Cooler: A recap of the major tech and data news from the past week in the capital markets.
