Cross Reference Up

Wang, J, Cha, B-H, Cho, S-H and Kuo, C-CJ (2009). Understanding Benford’s Law and its Vulnerability in Image Forensics. IEEE International Conference on Multimedia and Expo, ICME 2009, pp. 1568 - 1571.

This work is cited by the following items of the Benford Online Bibliography:

Note that this list may be incomplete, and is currently being updated. Please check again at a later date.

Amruthnath, N (2020). Benford’s Law: Applying to Existing Data. Posted on R-bloggers.com, last accessed August 29, 2020. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Bonettini, N, Bestagini, P, Milani, S and Tubaro, S (2020). On the use of Benford's law to detect GAN-generated images. Preprint arXiv:arXiv:2004.07682 [cs.CV]; last accessed April 21, 2020 (2020 25th International Conference on Pattern Recognition (ICPR), pp. 5495-5502) . View Complete Reference Online information Works that this work references Works that reference this work
Fernandes, P and Antunes, M (2023). Benford’s law applied to digital forensic analysis. Forensic Science International: Digital Investigation 45, p. 301515. DOI:10.1016/J.FSIDI.2023.301515. View Complete Reference Online information Works that this work references Works that reference this work
Gabhane, P, Rahangdale, P, Raipure, P, Sinde, S and Rathod, S.C. (2023). Analyzing the Effectiveness of Benford's Law in Detecting Image Forgery: A Systematic Review. International Research Journal of Modernization in Engineering Technology and Science 5(5). DOI:0.56726/IRJMETS38131. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Karavardar, A (2014). Benford’s Law and an Analysis in Istanbul Stock Exchange (BIST). International Journal of Business and Management, 9(4), pp. 160-172. DOI:10.5539/ijbm.v9n4p160. View Complete Reference Online information Works that this work references Works that reference this work
Milani, S, Tagliasacchi, M and Tubaro, S (2014). Discriminating multiple JPEG compressions using first digit features. APSIPA Transactions on Signal and Information Processing 3, e19. DOI:10.1017/ATSIP.2014.19. View Complete Reference Online information Works that this work references Works that reference this work
Taimori, A, Razzazi, F, Behrad, A, Ahmadi, A and Babaie-Zadeh, M (2012). A proper transform for satisfying Benford's Law and its application to double JPEG image forensics. Proceedings of 2012 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 000240-000244. DOI:10.1109/ISSPIT.2012.6621294. View Complete Reference Online information Works that this work references Works that reference this work