- The 9th FinVolution Global Data Science Competition targets
deepfake speech detection, tackling the challenge of distinguishing
between cloned and authentic voices in the LLM era.
- The contest is part of the IJCAI 2024 Competitions and
Challenges track, encouraging global collaboration and innovation
among AI enthusiasts.
- By integrating LLM-generated fake voices in the test
dataset, the competition increases complexity and spurs
innovation.
SHANGHAI, May 10, 2024 /PRNewswire/ -- FinVolution, a
leading fintech service provider, launches the 9th
FinVolution Global Data Science Competition today, with a focus on
"Deepfake Speech Detection." The contest is part of the IJCAI
(International Joint Conference on Artificial Intelligence)
Competitions and Challenges track, a top international AI
conference.
As voice synthesis technology continues to evolve, the line
between cloned and genuine voices has become increasingly blurred
in the era of large language models (LLMs), posing significant
challenges to data security and asset protection.
The competition aims to inspire global AI enthusiasts and
experts to innovate in combating voice cloning and deepfake scams.
Contestants will utilize deep learning technologies to develop
models and algorithms based on FinVolution's test dataset. The
competition will include LLM-generated fake voices to elevate
complexity and spur innovation.
With a total prize pool of RMB
310,000, the contest will consist of preliminaries,
semifinals, and a final, with an aim to authenticate true and false
voices. Highest-ranked contestants will attend IJCAI 2024 in Jeju
of South Korea, to receive the
awards and engage with academic and industry experts. FinVolution
proudly sponsors IJCAI 2024.
Tiezheng Li, CEO of FinVolution,
stated, "Since its inception nine years ago, the FinVolution Global
Data Science Competition has evolved into a widely recognized event
in the field of data technology, facilitating technical exchange
worldwide. Partnering with IJCAI this year, a top-tier
international AI conference, demonstrates our commitment to
advancing deep speech recognition technology."
The Deepfake Challenge
During the preliminaries (May 10 to June
12), participants will design algorithms based on the
white-box dataset supplied by FinVolution and submit scoring
results to qualify for the semifinals. The dataset primarily
comprises voice recordings totaling 20-40 hours.
At the semifinal stage (June 13 to June
28), contenders are expected to refine their algorithms
based on the black-box dataset provided by the competition
organizer, vying for a spot in the final. The dataset, composed
mainly of private data, contains five to 10 hours of
recordings.
Participants can register on the official website from
May 9 to June 3, to download and view
the datasets.
Upholding AI Ethics
Voice cloning has emerged as a major form of telecom fraud, as
scammers exploit AI technology to make distinction between genuine
and fake voices increasingly tricky.
The competition focuses on safeguarding user privacy and
combating fraudulent activities by identifying cloned voices
accurately.
Lei Chen, Vice President of FinVolution and Head of its Big Data
and AI Division, said, "The applications of Large Language Models
far exceed the corresponding detection technology, posing great
challenges to information security. We hope to see AI deepfake
voice detection technology keep pace with the developments of
LLMs, thus safeguarding the data security of the public. With this
concept in mind, the FinVolution Global Data Science Competition is
not only a platform for technical competition but also an
opportunity to explore how AI can better adhere to ethical
principles and serve the public."
To date, the FinVolution Global Data Science Competition has
drawn nearly 10,000 participants globally in total, becoming a
widely recognized event in the field of digital financial
technology.
Organized annually since 2016, the contest themes have spanned
diverse domains, all rooted in real-world fintech business
scenarios. These themes range from risk control algorithms,
financial data applications, and product development to semantic
similarity recognition, asset portfolio cash flow prediction, and
credit schemes for small- and micro-sized enterprises.
About FinVolution Group
FinVolution Group is a leading fintech company that connects
millions of consumers as well as micro- and small-sized enterprises
with financial institutions.
Founded in 2007 and listed on the New York Stock Exchange in
2017, we have been at the forefront of the pan-Asian credit
technology industry, pioneering innovative technologies in credit
risk assessment, fraud detection, big data, and artificial
intelligence. With a proven track record of robust growth in
pan-Asian countries, we have established leading fintech platforms
in China, Indonesia, and the
Philippines.
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