首页|Study Data from University of Vigo Update Knowledge of Artificial Intelligence ( Deobfuscating Leetspeak With Deep Learning To Improve Spam Filtering)
Study Data from University of Vigo Update Knowledge of Artificial Intelligence ( Deobfuscating Leetspeak With Deep Learning To Improve Spam Filtering)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning - Artif icial Intelligence are presented in a new report. According to news reporting ou t of Orense,Spain,by NewsRx editors,research stated,"The evolution of anti-s pam filters has forced spammers to make greater efforts to bypass filters in ord er to distribute content over networks. The distribution of content encoded in i mages or the use of Leetspeak are concrete and clear examples of techniques curr ently used to bypass filters." Funders for this research include Department of Education,Universities and Rese arch of the Basque Country,Project Semantic Knowledge Integration for Content-B ased Spam Filtering from SMEIC,Sugar Research Australia,European Union (EU). Our news journalists obtained a quote from the research from the University of V igo,"Despite the importance of dealing with these problems,the number of studi es to solve them is quite small,and the reported performance is very limited. T his study reviews the work done so far (very rudimentary) for Leetspeak deobfusc ation and proposes a new technique based on using neural networks for decoding p urposes. In addition,we distribute an image database specifically created for t raining Leetspeak decoding models. We have also created and made available four different corpora to analyse the performance of Leetspeak decoding schemes. Usin g these corpora,we have experimentally evaluated our neural network approach fo r decoding Leetspeak."
OrenseSpainEuropeArtificial Intell igenceMachine LearningUniversity of Vigo
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