{"id":13538195,"url":"https://github.com/13o-bbr-bbq/machine_learning_security","last_synced_at":"2025-05-15T13:06:33.473Z","repository":{"id":38361723,"uuid":"89960611","full_name":"13o-bbr-bbq/machine_learning_security","owner":"13o-bbr-bbq","description":"Source code about machine learning and security.","archived":false,"fork":false,"pushed_at":"2022-09-02T00:13:24.000Z","size":61652,"stargazers_count":2025,"open_issues_count":46,"forks_count":666,"subscribers_count":153,"default_branch":"master","last_synced_at":"2025-04-22T03:32:27.528Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/13o-bbr-bbq.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":"Security_and_MachineLearning/Chap1_IntrusionDetection.md","support":null}},"created_at":"2017-05-01T20:33:43.000Z","updated_at":"2025-04-13T07:48:01.000Z","dependencies_parsed_at":"2022-07-12T17:27:46.858Z","dependency_job_id":null,"html_url":"https://github.com/13o-bbr-bbq/machine_learning_security","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/13o-bbr-bbq%2Fmachine_learning_security","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/13o-bbr-bbq%2Fmachine_learning_security/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/13o-bbr-bbq%2Fmachine_learning_security/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/13o-bbr-bbq%2Fmachine_learning_security/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/13o-bbr-bbq","download_url":"https://codeload.github.com/13o-bbr-bbq/machine_learning_security/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254346624,"owners_count":22055808,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-08-01T09:01:07.724Z","updated_at":"2025-05-15T13:06:28.465Z","avatar_url":"https://github.com/13o-bbr-bbq.png","language":"Python","funding_links":[],"categories":["\u003ca id=\"cc80626cfd1f8411b968373eb73bc4ea\"\u003e\u003c/a\u003e人工智能\u0026\u0026机器学习\u0026\u0026深度学习\u0026\u0026神经网络","\u003ca id=\"8c5a692b5d26527ef346687e047c5c21\"\u003e\u003c/a\u003e收集","Python (1887)","Python","[↑](#table-of-contents) Miscellaneous","Tools","Using AI for Pentesting"],"sub_categories":["\u003ca id=\"19dd474da6b715024ff44d27484d528a\"\u003e\u003c/a\u003e未分类-AI","Satellite","Prediction"],"readme":"# Machine Learning and Security\nSource codes about machine learning and security.\n\n## Line up.\n * [Cyber security and Machine Learning course](https://github.com/13o-bbr-bbq/machine_learning_security/tree/master/Security_and_MachineLearning)  \n The elementary training course of Machine learning for security engineer.  \n * [Vulnerabilties of Machine Learning](https://github.com/13o-bbr-bbq/machine_learning_security/blob/master/Vulnerabilities_of_ML/)  \n Summary of Machine Learning vulnerability.  \n * [Analytics](https://github.com/13o-bbr-bbq/machine_learning_security/tree/master/Analytics)  \n Analyzing packet capture data using k-means.  \n * [CNN_test](https://github.com/13o-bbr-bbq/machine_learning_security/tree/master/CNN_test)  \n Generate adversarial example against CNN.  \n * [Deep Exploit](https://github.com/13o-bbr-bbq/machine_learning_security/tree/master/DeepExploit)  \n Fully automatic penetration test tool using Machine Learning.  \n Deep Exploit was presented at **[Black Hat USA 2018 Arsenal](https://www.blackhat.com/us-18/arsenal/schedule/index.html#deep-exploit-11908)** , **[Black Hat EURO 2018 Arsenal](https://www.blackhat.com/eu-18/arsenal/schedule/index.html#deep-exploit-fully-automatic-penetration-test-tool-using-machine-learning-13320)** and **[DEF CON 26! AI Village](https://aivillage.org/posts/accepted-talks/)**.  \n* [GyoiThon](https://github.com/gyoisamurai/GyoiThon)  \n Next generation penetration test tool.  \n GyoiThon was presented at **[Black Hat ASIA 2018 Arsenal](https://www.blackhat.com/asia-18/arsenal/schedule/index.html#gyoithon-9651)** , **[Black Hat ASIA 2019 Arsenal](https://www.blackhat.com/asia-19/arsenal/schedule/index.html#gyoithon-penetration-testing-using-machine-learning-14359)** and **[DEF CON 26! Demo Labs](https://www.defcon.org/html/defcon-26/dc-26-demolabs.html)**.  \n * [DeepGenerator](https://github.com/13o-bbr-bbq/machine_learning_security/tree/master/Generator)  \n Fully automatically generate numerous injection codes for web application assessment using Genetic Algorithm and Generative Adversarial Networks.  \n * [Recommender](https://github.com/13o-bbr-bbq/machine_learning_security/tree/master/Recommender)  \n Recommend optimal injection code for detecting web app vulnerabilities.\n * [SAIVS (Spider Artificial Intelligence Vulnerability Scanner)](https://github.com/13o-bbr-bbq/machine_learning_security/tree/master/Saivs)  \n SAIVS is an artificial intelligence to find vulnerabilities in Web applications.  \n SAIVS was presented at **[Black Hat ASIA 2016 Arsenal](http://www.blackhat.com/asia-16/arsenal.html#saivs-spider-artificial-intelligence-vulnerability-scanner)**.  \n\n## Contact us\n\nIsao Takaesu  \ntakaesu235@gmail.com  \n[https://twitter.com/bbr_bbq](https://twitter.com/bbr_bbq)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F13o-bbr-bbq%2Fmachine_learning_security","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F13o-bbr-bbq%2Fmachine_learning_security","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F13o-bbr-bbq%2Fmachine_learning_security/lists"}