activity
20212025
collaborators

6 papers

cs.SD2025

Reliable Audio Deepfake Detection in Variable Conditions via Quantum-Kernel SVMs

Lisan Al Amin, Vandana P. Janeja

Detecting synthetic speech is challenging when labeled data are scarce and recording conditions vary. Existing end-to-end deep models often overfit or fail to generalize, and while…

cs.LG2024

Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data

Francis Ndikum Nji, Omar Faruque, Mostafa Cham +2

Classifying subsets based on spatial and temporal features is crucial to the analysis of spatiotemporal data given the inherent spatial and temporal variability. Since no single cl…

cs.IR2024

Creating Geospatial Trajectories from Human Trafficking Text Corpora

Saydeh N. Karabatis, Vandana P. Janeja

Human trafficking is a crime that affects the lives of millions of people across the globe. Traffickers exploit the victims through forced labor, involuntary sex, or organ harvesti…

cs.IR2024

Narrative to Trajectory (N2T+): Extracting Routes of Life or Death from Human Trafficking Text Corpora

Saydeh N. Karabatis, Vandana P. Janeja

Climate change and political unrest in certain regions of the world are imposing extreme hardship on many communities and are forcing millions of vulnerable populations to abandon…

cs.SD2021

Audio Deepfake Perceptions in College Going Populations

Gabrielle Watson, Zahra Khanjani, Vandana P. Janeja

Deepfake is content or material that is generated or manipulated using AI methods, to pass off as real. There are four different deepfake types: audio, video, image and text. In th…

cs.SD2021

How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey

Zahra Khanjani, Gabrielle Watson, Vandana P. Janeja

Deepfake is content or material that is synthetically generated or manipulated using artificial intelligence (AI) methods, to be passed off as real and can include audio, video, im…