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Kobiela, J and Dzierwa, P (2024). Application of Benford’s Law to the Identification of Non-authentic Digital Images. Proceedings of the 22nd International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM 2024, held in Bratislava, Slovak Republic, pp. 115-129 .

This work cites the following items of the Benford Online Bibliography:


Anderson, KM, Dayaratna, K, Gonshorowski, D and Miller, SJ (2022). A New Benford Test for Clustered Data with Applications to American Elections. Stats 5(3), pp. 841–855. DOI:10.3390/stats5030049 . View Complete Reference Online information Works that this work references Works that reference this work
Bodke, M, Mishra, D, Vasani, K and Janjua, J (2021). Analysis of Benford’s Law for Image Processing. International Journal of Creative research Thoughts 9(6), pp. h202-h208. View Complete Reference Online information Works that this work references Works that 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
de Kok, R and Rotundo, G (2022). Benford Networks. Stats 5(4), pp. 934-947. DOI:10.3390/stats5040054. View Complete Reference Online information Works that this work references Works that reference this work
Frick, RA , Liu, H and Steinebach, M (2020). Detecting double compression and splicing using benfords first digit law. ARES '20: Proceedings of the 15th International Conference on Availability, Reliability and SecurityAugust, Article No. 47, pp. 1–9. DOI:10.1145/3407023.3409200. View Complete Reference Online information Works that this work references Works that reference this work
Fu, D, Shi, YQ and Su, W (2007). A generalized Benford’s law for JPEG coefficients and its applications in image forensics. Proceedings of SPIE, Volume 6505, Security, Steganography and Watermarking of Multimedia Contents IX, San Jose, California, January 28 - February 1, 2007, pp. 65051L-65051L-11. DOI:10.1117/12.704723. View Complete Reference Online information Works that this work references Works that reference this work
Goh, C (2020). Applying visual analytics to fraud detection using Benford's law. Journal of Corporate Accounting & Finance, pp. 1-7. DOI:10.1002/jcaf.22440. View Complete Reference Online information Works that this work references Works that reference this work
Iorliam, A, Emmanual, O and Shehu, YI (2022). An Investigation of Benford’s Law Divergence and Machine Learning Techniques for Intra-Class Separability of Fingerprint Images. Gazi University Journal of Science Part A: Engineering and Innovation 9(3), pp.211–224 (Preprint arXiv:2201.01699 [cs.CV]; last accessed January 12, 2022). DOI:10.54287/gujsa.1077430. View Complete Reference Online information Works that this work references Works that reference this work
Iorliam, A, Ho, ATS, Waller, A and Zhao, X (2017). Using Benford's Law Divergence and Neural Networks for Classification and Source Identification of Biometric Images. In: Shi Y., Kim H., Perez-Gonzalez F., Liu F. (eds) Digital Forensics and Watermarking. IWDW 2016. Lecture Notes in Computer Science, vol 10082. Springer, Cham, pp. 88-105. DOI:10.1007/978-3-319-53465-7_7. View Complete Reference Online information Works that this work references Works that reference this work
Kazemitabar, J (2021). Double-Crossing Benford's Law. Preprint arXiv:2105.09812 [stat.AP]; last accessed May 31, 2021. View Complete Reference Online information Works that this work references Works that reference this work
Parnak, A, Damavandi, YB and Kazemitabar, SJ (2022). A Novel Image Splicing Detection Algorithm based on Generalized and Traditional Benford’s Law. International Journal of Engineering, Transactions A: Basics 35(4), pp. 626-634. View Complete Reference Online information Works that this work references Works that reference this work
Perez-Gonzalez, F, Heileman, GL and Abdallah, CT (2007). Benford's Law in Image Processing. Image Processing, pp I-405 - I-408. ICIP 2007. IEEE International Conference. ISSN/ISBN:1522-4880. DOI:10.1109/ICIP.2007.4378977. View Complete Reference Online information Works that this work references Works that reference this work
Satapathy, G, Bhattacharya, G, Puhan, NB and Ho, ATS (2020). Generalized Benford’s Law for Fake Fingerprint Detection. Proceedings of 2020 IEEE Applied Signal Processing Conference (ASPCON), Kolkata, pp. 242-246. DOI:10.1109/ASPCON49795.2020.9276660. View Complete Reference Online information Works that this work references Works that reference this work
Singh, N and Bansal, R (2015). Analysis of Benford's law in digital image forensics. Proceedings of 2015 International Conference on Signal Processing and Communication (ICSC), pp. 413-418. DOI:10.1109/ICSPCom.2015.7150688. View Complete Reference Online information Works that this work references Works that reference this work
Varga, D (2021). Analysis of Benford’s Law for No-Reference Quality Assessment of Natural, Screen-Content, and Synthetic Images . Electronics 10(19), p. 2378. DOI:10.3390/electronics10192378. View Complete Reference Online information Works that this work references Works that reference this work
Zago, JG, Antonelo, EA, Baldissera, FL and Saad, RT (2023). Benford’s law: What does it say on adversarial images?. Journal of Visual Communication and Image Representation 93, pp.103818 . DOI:10.1016/j.jvcir.2023.103818. View Complete Reference Online information Works that this work references Works that reference this work