Deep fake detection using cascaded deep sparse auto-encoder for effective feature selection

• Published in: PeerJ. Computer science Vol. 8; p. e1040
• Main Authors: Balasubramanian, Saravana Balaji, R, Jagadeesh Kannan, P, Prabu, K, Venkatachalam, Trojovský, Pavel
• Format: Journal Article
• Language: English
• Published: San Diego PeerJ. Ltd 13.07.2022; PeerJ, Inc; PeerJ Inc
• Subjects: Accuracy; Algorithms; Analysis; Artificial Intelligence; Artificial neural networks; Big Data; Coders; Computer Vision; Data analysis; Data Mining and Machine Learning; Data Science; Data transfer (computers); Datasets; Deception; Deep fake detection; Deep learning; Deep sparse Auto encoder; Detectors; Digital computers; DNN; Face2Face; Feature extraction; Feature selection; Forensic sciences; Forgery; Image classification; Image manipulation; Information management; Machine learning; Machine vision; Multimedia; Neural networks; Pornography; Privacy, Right of; Social networks; Temporal Convolutional neural network

In the recent research era, artificial intelligence techniques have been used for computer vision, big data analysis, and detection systems. The development of these advanced technologies has also increased security and privacy issues. One kind of this issue is Deepfakes which is the combined word o...