使用对抗防御图像分类CAPTCHA

Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy Pub Date : 2022-04-14 DOI:10.1145/3508398.3519367

Shawn Chua, Kai Yuan Tay, M. Chua, Vivek Balachandran

{"title":"使用对抗防御图像分类CAPTCHA","authors":"Shawn Chua, Kai Yuan Tay, M. Chua, Vivek Balachandran","doi":"10.1145/3508398.3519367","DOIUrl":null,"url":null,"abstract":"CAPTCHAs are widely used today as a reliable method to set up a Turing test to discern between humans and computers. With the improvements in AI technology, many AI hard problems could now be solved with new techniques, for example, better Optical Character Recognition models. This work highlights the possibility of using adversarial defences techniques such as Spatial smoothing and JPEG compression to defeat image classification CAPTCHAs.","PeriodicalId":102306,"journal":{"name":"Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Adversarial Defences Against Image Classification CAPTCHA\",\"authors\":\"Shawn Chua, Kai Yuan Tay, M. Chua, Vivek Balachandran\",\"doi\":\"10.1145/3508398.3519367\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"CAPTCHAs are widely used today as a reliable method to set up a Turing test to discern between humans and computers. With the improvements in AI technology, many AI hard problems could now be solved with new techniques, for example, better Optical Character Recognition models. This work highlights the possibility of using adversarial defences techniques such as Spatial smoothing and JPEG compression to defeat image classification CAPTCHAs.\",\"PeriodicalId\":102306,\"journal\":{\"name\":\"Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3508398.3519367\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3508398.3519367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

今天，验证码作为一种可靠的方法被广泛使用，用于设置图灵测试，以区分人类和计算机。随着人工智能技术的进步，许多人工智能难题现在可以用新技术来解决，例如，更好的光学字符识别模型。这项工作强调了使用对抗性防御技术(如空间平滑和JPEG压缩)来击败图像分类captcha的可能性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Using Adversarial Defences Against Image Classification CAPTCHA

CAPTCHAs are widely used today as a reliable method to set up a Turing test to discern between humans and computers. With the improvements in AI technology, many AI hard problems could now be solved with new techniques, for example, better Optical Character Recognition models. This work highlights the possibility of using adversarial defences techniques such as Spatial smoothing and JPEG compression to defeat image classification CAPTCHAs.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy

自引率

0.00%

发文量