Malik, Khalid Mahmood
University of Michigan–Flint
9 papers on CoChatORCID 0000-0002-7927-3436
Most cited papers
- Verified
Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward
Masood, M., Nawaz, M., Malik, K. M., Javed, A., Irtaza, A., & Malik, H. (2023) · Applied Intelligence
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 543
- Verified
AVFakeNet: A unified end-to-end Dense Swin Transformer deep learning model for audio–visual deepfakes detection
Ilyas, H., Javed, A., & Malik, K. M. (2023) · Applied Soft Computing
Digital Media Forensic DetectionMisinformation and Its Impacts
Cited by 186
- Verified
Clinical Context–Aware Biomedical Text Summarization Using Deep Neural Network: Model Development and Validation.
Afzal, M., Alam, F., Malik, K. M., & Malik, G. M. (2020) · Journal of Medical Internet Research
Biomedical Text Mining and OntologiesAdvanced Text Analysis Techniques
Cited by 65
- Verified
Voice spoofing detector: A unified anti-spoofing framework
Javed, A., Malik, K. M., Malik, H., & Irtaza, A. (2022) · Expert Systems with Applications
Speech Recognition and SynthesisBiometric Identification and Security
Cited by 50
- Verified
Voice spoofing detection corpus for single and multi-order audio replays
Baumann, R., Malik, K. M., Javed, A., Ball, A., Kujawa, B., & Malik, H. (2021) · Computer Speech & Language
Speech Recognition and SynthesisBiometric Identification and Security
Cited by 36
- Verified
Automated clinical knowledge graph generation framework for evidence based medicine.
Alam, F., Giglou, H. B., & Malik, K. M. (2023) · Expert Systems with Applications
Biomedical Text Mining and OntologiesMachine Learning in Healthcare
Cited by 27
- Verified
Voice spoofing countermeasures: Taxonomy, state-of-the-art, experimental analysis of generalizability, open challenges, and the way forward
Khan, A., Malik, K. M., Ryan, J., & Saravanan, M. (2022) · arXiv
Speech Recognition and SynthesisBiometric Identification and Security
Cited by 8
- Verified
ConvNext-PNet: An interpretable and explainable deep-learning model for deepfakes detection
Ilyas, H., Javed, A., & Malik, K. M. (2024) · 2024 IEEE International Joint Conference on Biometrics (IJCB)
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 5
- Verified
Hatespeechbert: Retraining Bert for Automatic Hate Speechdetection
Ishaq, A., Malik, K. M., & Zafar, A. (2023) · SSRN Electronic Journal
Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining
Cited by 1
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