Publications

Research contributions in AI, computer vision, and deepfake detection. Check out my publications and research work!

DF-P2E: Deepfake – Prediction to Explanation

ACM Multimedia 2025

Saakshi Gupta, et al.

Contributed to a multimodal, explainable and interactive deepfake detection framework for non-expert users. The system integrates visual saliency maps, image captioning and narrative explanations to make AI decisions transparent.

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An Advanced Deepfake Detection System leveraging DeepfakeBench and Explainable AI

DFRWS Digital Forensics Conference

Research poster presented at the DFRWS Digital Forensics Conference on advanced deepfake detection methodologies.

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FinGraphRAG: Building a Portfolio Risk & Market Analysis GraphRAG

Coding Nexus

A comprehensive GraphRAG system for portfolio risk and market analysis, combining vector search with knowledge graph reasoning to provide explainable financial insights.

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