5 papers
Multimodal Zero-Shot Framework for Deepfake Hate Speech Detection in Low-Resource Languages
Rishabh Ranjan, Likhith Ayinala, Mayank Vatsa +1
This paper introduces a novel multimodal framework for hate speech detection in deepfake audio, excelling even in zero-shot scenarios. Unlike previous approaches, our method uses c…
SynHate: Detecting Hate Speech in Synthetic Deepfake Audio
Rishabh Ranjan, Kishan Pipariya, Mayank Vatsa +1
The rise of deepfake audio and hate speech, powered by advanced text-to-speech, threatens online safety. We present SynHate, the first multilingual dataset for detecting hate speec…
LitMAS: A Lightweight and Generalized Multi-Modal Anti-Spoofing Framework for Biometric Security
Nidheesh Gorthi, Kartik Thakral, Rishabh Ranjan +2
Biometric authentication systems are increasingly being deployed in critical applications, but they remain susceptible to spoofing. Since most of the research efforts focus on moda…
Can Quantized Audio Language Models Perform Zero-Shot Spoofing Detection?
Bikash Dutta, Rishabh Ranjan, Shyam Sathvik +2
Quantization is essential for deploying large audio language models (LALMs) efficiently in resource-constrained environments. However, its impact on complex tasks, such as zero-sho…
Low-Resolution Chest X-ray Classification via Knowledge Distillation and Multi-task Learning
Yasmeena Akhter, Rishabh Ranjan, Richa Singh +1
This research addresses the challenges of diagnosing chest X-rays (CXRs) at low resolutions, a common limitation in resource-constrained healthcare settings. High-resolution CXR im…