Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward
2022 · Applied Intelligence · 429 citations
https://doi.org/10.1007/s10489-022-03766-z
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Khalid Mahmood Malik
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Khalid Mahmood Malik is an academic researcher from University of Michigan–Flint. The author has contributed to research in topics: Digital Media Forensic Detection & Generative Adversarial Networks and Image Synthesis & Biomedical Text Mining and Ontologies. The author has an h-index of 30, co-authored 217 publications.
ORCID: 0000-0002-7927-3436Papers by this author
worksAVFakeNet: A unified end-to-end Dense Swin Transformer deep learning model for audio–visual deepfakes detection
2023 · Applied Soft Computing · 144 citations
https://doi.org/10.1016/j.asoc.2023.110124
HolisticDFD: Infusing spatiotemporal transformer embeddings for deepfake detection
2023 · Information Sciences · 32 citations
https://doi.org/10.1016/j.ins.2023.119352
Battling voice spoofing: a review, comparative analysis, and generalizability evaluation of state-of-the-art voice spoofing counter measures
2023 · Artificial Intelligence Review · 29 citations
https://doi.org/10.1007/s10462-023-10539-8
SpoTNet: A spoofing-aware Transformer Network for Effective Synthetic Speech Detection
2023 · 16 citations
https://doi.org/10.1145/3592572.3592841
Prescription Patterns of Pain Medicine Physicians
2012 · Pain Practice · 14 citations
https://doi.org/10.1111/papr.12011
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