Artikel mit Open-Access-Mandaten - Zichi WangWeitere Informationen
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Lossless and reversible data hiding in encrypted images with public-key cryptography
X Zhang, J Long, Z Wang, H Cheng
IEEE transactions on circuits and systems for video technology 26 (9), 1622-1631, 2015
Mandate: National Natural Science Foundation of China
Towards robust image steganography
J Tao, S Li, X Zhang, Z Wang
IEEE Transactions on Circuits and Systems for Video Technology 29 (2), 594-600, 2018
Mandate: National Natural Science Foundation of China
Joint cover-selection and payload-allocation by steganographic distortion optimization
Z Wang, X Zhang, Z Yin
IEEE Signal Processing Letters 25 (10), 1530-1534, 2018
Mandate: National Natural Science Foundation of China
Distortion function based on residual blocks for JPEG steganography
Q Wei, Z Yin, Z Wang, X Zhang
Multimedia Tools and Applications 77, 17875-17888, 2018
Mandate: National Natural Science Foundation of China
Hybrid distortion function for JPEG steganography
Z Wang, X Zhang, Z Yin
Journal of Electronic Imaging 25 (5), 050501-050501, 2016
Mandate: National Natural Science Foundation of China
Batch steganography via generative network
N Zhong, Z Qian, Z Wang, X Zhang, X Li
IEEE Transactions on Circuits and Systems for Video Technology 31 (1), 88-97, 2020
Mandate: National Natural Science Foundation of China
Practical cover selection for steganography
Z Wang, X Zhang, Z Qian
IEEE Signal Processing Letters 27, 71-75, 2019
Mandate: National Natural Science Foundation of China
Unified performance evaluation method for perceptual image hashing
X Li, C Qin, Z Wang, Z Qian, X Zhang
IEEE Transactions on Information Forensics and Security 17, 1404-1419, 2022
Mandate: National Natural Science Foundation of China
JPEG steganography with content similarity evaluation
Z Wang, G Feng, Z Qian, X Zhang
IEEE Transactions on Cybernetics 53 (8), 5082-5093, 2022
Mandate: National Natural Science Foundation of China
Reversible visible watermark embedded in encrypted domain
X Zhang, Z Wang, J Yu, Z Qian
2015 IEEE China Summit and International Conference on Signal and …, 2015
Mandate: National Natural Science Foundation of China
Cover selection for steganography using image similarity
Z Wang, G Feng, L Shen, X Zhang
IEEE Transactions on Dependable and Secure Computing 20 (3), 2328-2340, 2022
Mandate: National Natural Science Foundation of China
Data hiding in neural networks for multiple receivers [research frontier]
Z Wang, G Feng, H Wu, X Zhang
IEEE Computational Intelligence Magazine 16 (4), 70-84, 2021
Mandate: National Natural Science Foundation of China
Repeatable data hiding: Towards the reusability of digital images
Z Wang, G Feng, X Zhang
IEEE Transactions on Circuits and Systems for Video Technology 32 (1), 135-146, 2021
Mandate: National Natural Science Foundation of China
Semi-fragile neural network watermarking for content authentication and tampering localization
Z Yuan, X Zhang, Z Wang, Z Yin
Expert Systems with Applications 236, 121315, 2024
Mandate: National Natural Science Foundation of China
Multichannel steganography in digital images for multiple receivers
Z Wang, G Feng, Y Ren, X Zhang
IEEE MultiMedia 28 (1), 65-73, 2020
Mandate: National Natural Science Foundation of China
Distortion function for JPEG steganography based on image texture and correlation in DCT domain
Z Wang, Z Yin, X Zhang
IETE Technical Review 35 (4), 351-358, 2018
Mandate: National Natural Science Foundation of China
Distortion function for spatial image steganography based on the polarity of embedding change
Z Wang, J Lv, Q Wei, X Zhang
Digital Forensics and Watermarking: 15th International Workshop, IWDW 2016 …, 2017
Mandate: National Natural Science Foundation of China
A general steganographic framework for neural network models
Z Yang, Z Wang, X Zhang
Information Sciences 643, 119250, 2023
Mandate: National Natural Science Foundation of China
Data hiding during image processing using capsule networks
Z Wang, G Feng, H Wu, X Zhang
Neurocomputing 537, 49-60, 2023
Mandate: National Natural Science Foundation of China
Steganography in social networks based on behavioral correlation
Y Hu, Z Wang, X Zhang
IETE Technical Review 38 (1), 93-99, 2021
Mandate: National Natural Science Foundation of China
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