{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/deepimagespam-deep-learning-based-image-spam","title":"DeepImageSpam: Deep Learning based Image Spam Detection","arxiv_id":"1810.03977","date":"2018-10-03","proceeding":null,"authors":["Amara Dinesh Kumar","Vinayakumar R","Soman Kp"],"abstract":"Hackers and spammers are employing innovative and novel techniques to deceive\nnovice and even knowledgeable internet users. Image spam is one of such\ntechnique where the spammer varies and changes some portion of the image such\nthat it is indistinguishable from the original image fooling the users. This\npaper proposes a deep learning based approach for image spam detection using\nthe convolutional neural networks which uses a dataset with 810 natural images\nand 928 spam images for classification achieving an accuracy of 91.7%\noutperforming the existing image processing and machine learning techniques","url_abs":"http://arxiv.org/abs/1810.03977v1","url_pdf":"http://arxiv.org/pdf/1810.03977v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deepimagespam-deep-learning-based-image-spam","repo_url":"https://github.com/vinayakumarr/maching-learning-CDAC-Technopark","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"spam-detection","task_name":"Spam detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}