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Enhancing A New Classification for IDN Homograph Attack Detection.

, , , , and . DASC/PiCom/CBDCom/CyberSciTech, page 507-514. IEEE, (2020)

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Detecting Machine-Translated Text using Back Translation., , , and . CoRR, (2019)Human Factors in Homograph Attack Recognition., , , , , , and . ACNS (2), volume 12147 of Lecture Notes in Computer Science, page 408-435. Springer, (2020)Detecting Machine-Translated Text using Back Translation., , , and . INLG, page 189-197. Association for Computational Linguistics, (2019)Transformation on Computer-Generated Facial Image to Avoid Detection by Spoofing Detector., , , , and . ICME, page 1-6. IEEE Computer Society, (2018)Spatio-temporal generative adversarial network for gait anonymization., , , , and . J. Inf. Secur. Appl., (2019)Hunting Brand Domain Forgery: A Scalable Classification for Homograph Attack., , , , , and . SEC, volume 562 of IFIP Advances in Information and Communication Technology, page 3-18. Springer, (2019)Detecting Computer-Generated Text Using Fluency and Noise Features., and . PACLING, volume 781 of Communications in Computer and Information Science, page 288-300. Springer, (2017)Detecting Machine-Translated Paragraphs by Matching Similar Words., , , and . CICLing (1), volume 13451 of Lecture Notes in Computer Science, page 521-532. Springer, (2019)Anonymizing Private Phrases and Detecting Disclosure in Online Social Networks.. Graduate University for Advanced Studies, Japan, (2015)CheckHARD: Checking Hard Labels for Adversarial Text Detection, Prediction Correction, and Perturbed Word Suggestion., , , , and . EMNLP (Findings), page 2903-2913. Association for Computational Linguistics, (2022)