| Audio deepfakes: A survey Z Khanjani, G Watson, VP Janeja Frontiers in Big Data 5, 1001063, 2023 | 62 | 2023 |
| How deep are the fakes? focusing on audio deepfake: A survey Z Khanjani, G Watson, VP Janeja arXiv preprint arXiv:2111.14203, 2021 | 29 | 2021 |
| Learning to listen and listening to learn: Spoofed audio detection through linguistic data augmentation Z Khanjani, L Davis, A Tuz, K Nwosu, C Mallinson, VP Janeja 2023 IEEE International Conference on Intelligence and Security Informatics …, 2023 | 8 | 2023 |
| Audio deepfake perceptions in college going populations G Watson, Z Khanjani, VP Janeja arXiv preprint arXiv:2112.03351, 2021 | 8 | 2021 |
| How Deep Are the Fakes Z Khanjani, G Watson, VP Janeja Focusing on Audio Deepfake: A Survey, 2021 | 7 | 2021 |
| Benchmarking probabilistic machine learning models for arctic sea ice forecasting S Ali, SAM Mostafa, X Li, S Khanjani, J Wang, J Foulds, V Janeja IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 4 | 2022 |
| Investigating Causal Cues: Strengthening Spoofed Audio Detection with Human-Discernible Linguistic Features Z Khanjani, T Ale, J Wang, L Davis, C Mallinson, VP Janeja arXiv preprint arXiv:2409.06033, 2024 | 1 | 2024 |
| A place for (socio) linguistics in audio deepfake detection and discernment: Opportunities for convergence and interdisciplinary collaboration C Mallinson, VP Janeja, C Evered, Z Khanjani, L Davis, NN Bhalli, ... Language and Linguistics Compass 18 (5), e12527, 2024 | 1 | 2024 |
| Auto Annotation of Linguistic Features for Audio Deepfake Discernment K Nwosu, C Evered, Z Khanjani, N Bhalli, L Davis, C Mallinson, VP Janeja Proceedings of the AAAI Symposium Series 2 (1), 242-244, 2023 | 1 | 2023 |
| ALDAS: Audio-Linguistic Data Augmentation for Spoofed Audio Detection Z Khanjani, C Mallinson, J Foulds, VP Janeja arXiv preprint arXiv:2410.15577, 2024 | | 2024 |
Vandana JanejaProfessor of Information Systems, University of Maryland, Baltimore CountyEmail verificata su umbc.edu
