Public Resources
Telecom anti-fraud research
TeleAntiFraud research
Jointly initiated with People's Public Security University of China, the community focuses on public datasets, model releases, benchmarks, and reproducible research infrastructure for telecom fraud detection.
Accepted papers
Collaborating institutions
Open
Code, model, dataset
Latest News
Recent progress
SAFE-QAQ accepted to ACL 2026 Main Conference
End-to-end slow-thinking audio-text fraud detection via reinforcement learning.
TeleAntiFraud-28k accepted to ACM MM 2025
Public dataset and benchmark for telecom fraud detection.
Dataset and model resources are public
Current releases include code, arXiv pages, Hugging Face model, and dataset access.
Featured Publications
Selected papers and associated resources
Community
Members and collaborating institutions
A growing network of researchers, contributors, and academic partners working on open telecom anti-fraud research.