To beat AI-empowered fraudsters, credit-card providers may need to share data
Home » Media Mentions » To beat AI-empowered fraudsters, credit-card providers may need to share data
Highlighting the escalating sophistication of fraudsters in their tactics, detecting fraud presents a formidable challenge due to the sheer volume of legitimate transactions, as emphasised by Professor Hahn Jungpil.
Trending Posts
30 January 2018
13 July 2018
30 December 2018
20 May 2024
The National University of Singapore School of Computing (NUS Computing) has unveiled a new Computing Gallery, the first of its ...
26 June 2024
Professor Jungpil Hahn works for the Department of Information Systems and Analytics at the School of Computing, National University of ...
13 July 2020
8 March 2024
Associate Professor Bryan Low leads an accelerated Master’s programme in AI, providing early research exposure to Singaporean undergraduates. The programme ...
15 January 2018
26 June 2018
25 May 2024
Associate Professor Terence Sim of the National University of Singapore’s Centre for Trusted Internet and Community said AI-generated porn is ...
14 May 2018
13 December 2023
To help bridge the tech talent shortage companies and organisations are facing, the National University of Singapore (NUS) in October ...
5 December 2019
20 January 2021
11 March 2018
25 October 2018
4 March 2024
Associate Professor Terence Sim analysed OpenAI's showcase videos, uncovering subtle clues that can help identify AI-generated content. ...
-
Computing 1
13 Computing Drive
Singapore 117417
Additional Links
© National University of Singapore. All Rights Reserved. • Legal • Branding guidelines