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Jolion, JM (2001). Images and Benford's Law. Journal of Mathematical Imaging and Vision 14(1), pp. 73-81.

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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
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 No Bibliography works reference this work
Andriotis, P, Oikonomou, G and Tryfonas, T (2013). JPEG steganography detection with Benford's law. Digital Investigation 9(3-4), pp. 246-57. DOI:10.1016/j.diin.2013.01.005. View Complete Reference Online information Works that this work references Works that reference this work
Berger, A and Hill, TP (2015). An Introduction to Benford's Law. Princeton University Press: Princeton, NJ. ISSN/ISBN:9780691163062. View Complete Reference Online information Works that this work references Works that reference this work
Burgos, A and Santos, A (2021). The Newcomb–Benford law: Scale invariance and a simple Markov process based on it (Previous title: The Newcomb–Benford law: Do physicists use more frequently the key 1 than the key 9?). Preprint arXiv:2101.12068 [physics.pop-ph]; last accessed August 8, 2022; Published Am. J. Phys. 89, pp. 851-861. View Complete Reference Online information Works that this work references Works that reference this work
Campanario, JM and Coslado, MA (2011). Benford's law and citations, articles and impact factors of scientific journals. Scientometrics 88(2), pp. 421-432. DOI:10.1007/s11192-011-0387-9. View Complete Reference Online information Works that this work references Works that reference this work
Cong, M, Li, C and Ma, B-Q (2019). First digit law from Laplace transform. Phys. Lett. A, 383(16), pp. 1836-1844. DOI:10.1016/j.physleta.2019.03.017 . View Complete Reference Online information Works that this work references Works that reference this work
Del Acebo, E and Sbert, M (2005). Benford's Law for Natural and Synthetic Images. Proc. of the First Workshop on Computational Aesthetics in Graphics, Visualization and Imaging, L. Neumann, M. Sbert, B. Gooch, and W. Purgathofer, Eds., Girona, Spain, May 2005, pp. 169–176. ISSN/ISBN:1816-0859. DOI:10.2312/COMPAESTH/COMPAESTH05/169-176. View Complete Reference Online information Works that this work references Works that reference this work
den Heijer, E and Eiben, AE (2014). Investigating aesthetic measures for unsupervised evolutionary art. Swarm and Evolutionary Computation, Vol. 16, pp. 52–68. DOI:10.1016/j.swevo.2014.01.002. 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
Giles, DE (2013). Exact Asymptotic Goodness-of-Fit Testing for Discrete Circular Data, With Applications. Chilean Journal of Statistics 4(1), pp.19-34. ISSN/ISBN:0718-7912. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Golbeck, J (2015). Benford’s Law Applies to Online Social Networks. PLoS ONE 10(8): e0135169. DOI:10.1371/journal.pone.0135169. View Complete Reference Online information Works that this work references Works that reference this work
Golbeck, J (2023). Benford’s Law applies to word frequency rank in English, German, French, Spanish, and Italian. PLoS ONE 18(9), pp. e0291337. DOI:10.1371/journal.pone.0291337. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Grabowski, F and Trojanowski, P (2006). Benford's law in image analysis. Proceedings of the 1st Conference on Tools of Information Technology, Rzeszów, Poland, 15 September 2006, pp. 72-78. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Hamadeh, N (2004). Wireless Security and Traffic Modeling Using Benford's Law. Master’s Thesis, University of New Mexico, Albuquerque, NM, 2004 (99 pgs). View Complete Reference Online information Works that this work references Works that reference this work
Iorliam, A (2016). Application of power laws to biometrics, forensics and network traffic analysis. PhD Thesis, University of Surrey. View Complete Reference Online information Works that this work references Works that reference this work
Iorliam, A, Ho, AT, Poh, N, Zhao, X and Xia, Z (2017). Benford's law for classification of biometric images. In: User-Centric Privacy and Security in Biometrics, Claus Vielhauer (Ed.). ISSN/ISBN:9781785612077. DOI:10.1049/PBSE004E_ch11. View Complete Reference Online information Works that this work references Works that reference this work
Iorliam, A, Ho, ATS, Poh, N and Shi, YQ (2014). Do Biometric Images Follow Benford's Law?. Proceedings of the 22nd European Signal Processing Conf.(Eusipco). DOI:10.1109/IWBF.2014.6914261. 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
Iorliam, A and Shangbum, FC (2017). On the Use of Benford’s Law to Detect JPEG Biometric Data Tampering. Journal of Information Security 8, pp. 240-256. DOI:10.4236/jis.2017.83016. View Complete Reference Online information Works that this work references Works that reference this work
Li, F, Han, S, Zhang, H, Ding, J, Zhang, J and Wu, J (2019). Application of Benford’s law in Data Analysis. Journal of Physics: Conference Series 1168, pp. 032133. DOI:10.1088/1742-6596/1168/3/032133. View Complete Reference Online information Works that this work references Works that reference this work
Li, Z, Cong, L and Wang, H (2004). Discussion on Benford’s law and its application. posted on arXiv:math/0408057, Aug 4, 2004. View Complete Reference Online information Works that this work references Works that reference this work
Manoochehrnia, P, Rachidi, F, Rubinstein, M, Schulz, W and Diefendorfer, G (2010). Benford’s Law and Its Application to Lightning Data. IEEE Transactions on Electromagnetic Compatibility 52(4), pp. 956-961. View Complete Reference Online information Works that this work references Works that reference this work
Maza-Quiroga, R, Thurnhofer-Hemsi, K, Lopez-Rodrıguez, D and Lopez-Rubio, E (2021). Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford’s Law. In: de Bruijne M. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2021. MICCAI 2021. Lecture Notes in Computer Science, vol 12906. Springer, Cham.. DOI:10.1007/978-3-030-87231-1_33. View Complete Reference Online information Works that this work references Works that reference this work
Maza-Quiroga, R, Thurnhofer-Hemsi, K, López-Rodríguez, D and López-Rubio, E (2023). Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit . Axioms 12, pp. 1117 . DOI:10.3390/axioms12121117. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Miller, SJ (ed.) (2015). Benford's Law: Theory and Applications. Princeton University Press: Princeton and Oxford. ISSN/ISBN:978-0-691-14761-1. View Complete Reference Online information Works that this work references Works that reference this work
Mocnik, F-J (2021). Benford's law and geographical information - the example of OpenStreetMap. International Journal of Geographical Information Science 35, pp. 1746-1772. DOI:10.1080/13658816.2020.1829627. View Complete Reference Online information Works that this work references Works that reference this work
Pasquini, C and Boato, G (2013). JPEG compression anti-forensics based on first significant digit distribution. Proceedings of IEEE 15th International Workshop on Multimedia Signal Processing (MMSP). DOI:10.1109/MMSP.2013.6659339. View Complete Reference Online information Works that this work references Works that reference this work
Pasquini, C, Comesana-Alfaro, P, Perez-Gonzalez, F and Boato, G (2014). Transportation-theoretic image counterforensics to First Significant Digit histogram forensics. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). DOI:10.1109/ICASSP.2014.6854090. View Complete Reference Online information Works that this work references Works that reference this work
Pérez-González, F, Heileman, G and Abdallah, CT (2007). A generalization of Benford’s Law and its application to images. European Control Conference’2007, Kos, Greece, July 2007, pp. 3613 - 3619. ISSN/ISBN:9783952417386. 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
Posch, PN (2005). Ziffernanalyse in Theorie und Praxis. Testverfahren zur Fälschungsaufspürung mit Benfords Gesetz. Diploma thesis, Universität Bonn, Germany, 2003. Published by Shaker Verlag, Aachen. GER View Complete Reference No online information available Works that this work references Works that reference this work
Posch, PN (2010). Ziffernanalyse mit dem Newcomb-Benford Gesetz in Theorie und Praxis. VEW Verlag Europäische Wirtschaft: Munich 2nd edition. GER View Complete Reference Online information Works that this work references Works that reference this work
Sahu, SK, Java, A and Shaikh, A (2021). On The Connection of Benford’s Law and Neural Networks. Preprint arXiv:2102.03313 [cs.LG]; last accessed February 21, 2021. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Sahu, SK, Java, A and Shaikh, A (2021). Rethinking Neural Networks with Benford’s Law. Proceedings of Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021). View Complete Reference Online information Works that this work references Works that reference this work
Sanches, J and Marques, JS (2006). Image reconstruction using the Benford law. Proceedings of the IEEE International Conference on Image Processing, Atlanta, GA, October 2006, pp. 2029-2032. ISSN/ISBN:1522-4880. DOI:10.1109/ICIP.2006.312845. 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
Shao, L and Ma, BQ (2009). First Digit Distribution of Hadron full width. Modern Physics Letters A, 24(40), 3275-3282. ISSN/ISBN:0217-7323. DOI:10.1142/S0217732309031223. View Complete Reference Online information Works that this work references Works that reference this work
Shi, L-F, Yan, B, Pan, J-S and Sun, X-H (2019). Generalized Benford’s Distribution for Data Defined on Irregular Grid. In: Genetic and Evolutionary Computing, Proceedings of the Twelfth International Conference on Genetic and Evolutionary Computing, pp.383--391. DOI:10.1007/978-981-13-5841-8_40. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Strzałka, D (2010). On some properties of Benford's law. Journal of the Korean Math. Soc. 47(5), pp. 1055-1075. 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
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
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. ISSN/ISBN:1945-7871. DOI:10.1109/ICME.2009.5202811. View Complete Reference Online information Works that this work references Works that reference this work
Wu, T (2018). Image-Guided Rendering with an Evolutionary Algorithm Based on Cloud Model. Computational Intelligence and Neuroscience Volume 2018, Article ID 4518265. DOI:10.1155/2018/4518265. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Xu, B, Wang, J, Liu, G and Dai, Y (2011). Photorealistic computer graphics forensics based on leading digit law. Journal of Electronics (China) 28(1) pp. 95-100. DOI:10.1007/s11767-011-0474-3. View Complete Reference Online information Works that this work references Works that reference this work
Zago, JG (2021). Defense Methods for Convolutional Neural Networks Against Adversarial Attacks. Masters Thesis, Federal University of Santa Catarina, Florianópolis, Brazil. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Zago, JG, Baldissera, FL, Antonelo, EA and Saad, RT (2021). Benford’s law: what does it say on adversarial images?. Preprint arXiv:2102.04615 [cs.CV]; last accessed February 21, 2021. View Complete Reference Online information Works that this work references Works that reference this work
Zaharis, A, Martini, A, Tryfonas, T, Ilioudis, C and Pangalos, G (2011). Lightweight Steganalysis Based on Image Reconstruction and Lead Digit Distribution Analysis. nternational Journal of Digital Crime and Forensics 3(4), pp. 29-41. DOI:10.4018/jdcf.2011100103. View Complete Reference Online information Works that this work references Works that reference this work
Zhao, X, Ho, ATS and Shi, YQ (2009). Image forensics using generalised Benford's Law for accurate detection of unknown JPEG compression in watermarked images. 16th International Conference on Digital Signal Processing, July 2009, pp. 1-8. DOI:10.1109/ICDSP.2009.5201261. View Complete Reference Online information Works that this work references Works that reference this work