4 papers
Detecting AI-Generated Paraphrases in Bengali: A Comparative Study of Zero-Shot and Fine-Tuned Transformers
Md. Rakibul Islam, Most. Sharmin Sultana Samu, Md. Zahid Hossain +2
Large language models (LLMs) can produce text that closely resembles human writing. This capability raises concerns about misuse, including disinformation and content manipulation.…
Zero-Shot to Zero-Lies: Detecting Bengali Deepfake Audio through Transfer Learning
Most. Sharmin Sultana Samu, Md. Rakibul Islam, Md. Zahid Hossain +2
The rapid growth of speech synthesis and voice conversion systems has made deepfake audio a major security concern. Bengali deepfake detection remains largely unexplored. In this w…
FUSE: Unifying Spectral and Semantic Cues for Robust AI-Generated Image Detection
Md. Zahid Hossain, Most. Sharmin Sultana Samu, Md. Kamrozzaman Bhuiyan +2
The fast evolution of generative models has heightened the demand for reliable detection of AI-generated images. To tackle this challenge, we introduce FUSE, a hybrid system that c…
BeHGAN: Bengali Handwritten Word Generation from Plain Text Using Generative Adversarial Networks
Md. Rakibul Islam, Md. Kamrozzaman Bhuiyan, Safwan Muntasir +2
Handwritten Text Recognition (HTR) is a well-established research area. In contrast, Handwritten Text Generation (HTG) is an emerging field with significant potential. This task is…