jForge: An adversarial method to deceive JPEG forgery localization schemes
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11265-5.pdf
Reference49 articles.
1. alZahir S, Hammad R (2020) Image forgery detection using image similarity. Multimed Tools Appl. https://doi.org/10.1007/s11042-020-09502-4
2. Barni M, Fontani M, Tondi B (2015) Universal counterforensics of multiple compressed jpeg images. In: Shi YQ, Kim HJ, Pérez-González F, Yang CN (eds) Digital-Forensics and Watermarking. Springer International Publishing, Cham, pp 31–46
3. Barni M, Stamm MC, Tondi B (2018) Adversarial multimedia forensics: Overview and challenges ahead. In: 2018 26th European signal processing conference (EUSIPCO), pp 962–966
4. Bhaduri Mandal A, Das TK (2019) Anti-forensics of a nad-jpeg detection scheme using estimation of dc coefficients. In: Proceedings of information systems security - 15th international conference, ICISS 2019, Hyderabad, India, December 16-20, 2019, Lecture Notes in Computer Science, vol 11952. Springer International Publishing, pp 307–323
5. Bhardwaj D, Pankajakshan V (2018) A jpeg blocking artifact detector for image forensics. Signal Process Image Commun 68:155–161
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