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An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance.

, , , , , , and . EMBC, page 1-5. IEEE, (2023)

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Learning selection channels for image steganalysis in spatial domain., , , , and . Neurocomputing, (2020)Hiding Data in Colors: Secure and Lossless Deep Image Steganography via Conditional Invertible Neural Networks., , , and . CoRR, (2022)A3GAN: Attribute-Aware Anonymization Networks for Face De-identification., , , , , and . ACM Multimedia, page 5303-5313. ACM, (2022)A posterior evaluation algorithm of steganalysis accuracy inspired by residual co-occurrence probability., , , , and . Pattern Recognit., (2019)Universal Detection of Video Steganography in Multiple Domains Based on the Consistency of Motion Vectors., , and . IEEE Trans. Inf. Forensics Secur., (2020)Combined and Calibrated Features for Steganalysis of Motion Vector-Based Steganography in H.264/AVC., , and . IH&MMSec, page 135-146. ACM, (2017)Multi-domain Embedding Strategies for Video Steganography by Combining Partition Modes and Motion Vectors., , and . ICME, page 1402-1407. IEEE, (2019)Designing Non-additive Distortions for JPEG Steganography Based on Blocking Artifacts Reduction., , and . IWDW, volume 12022 of Lecture Notes in Computer Science, page 268-280. Springer, (2019)Interpretable and Robust AI in EEG Systems: A Survey., , , , , and . CoRR, (2023)Progressive selection-channel networks for image steganalysis., , , , and . Int. J. Intell. Syst., 37 (10): 7444-7458 (2022)