{"id":383300,"date":"2017-05-12T09:39:46","date_gmt":"2017-05-12T16:39:46","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&#038;p=383300"},"modified":"2019-03-18T22:27:00","modified_gmt":"2019-03-19T05:27:00","slug":"saif-security-artificial-intelligence-foundations-project","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/saif-security-artificial-intelligence-foundations-project\/","title":{"rendered":"SAIF &#8211; Security Artificial Intelligence Foundations Project"},"content":{"rendered":"<p>In the Security Artificial Intelligence Foundations Project (SAIF, pronounced &#8220;Safe&#8221;) project, we are actively pursuing\u00a0new strategies to combat computer security related threats using Artificial Intelligence. \u00a0\u00a0Deep learning has provided significant contributions in the areas of speech and object recognition. In the SAIF project, we are trying to utilize deep learning to improve computer security.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the Security Artificial Intelligence Foundations Project (SAIF, pronounced &#8220;Safe&#8221;) project, we are actively pursuing\u00a0new strategies to combat computer security related threats using Artificial Intelligence. \u00a0\u00a0Deep learning has provided significant contributions in the areas of speech and object recognition. In the SAIF project, we are trying to utilize deep learning to improve computer security.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556,13558],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-383300","msr-project","type-msr-project","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-security-privacy-cryptography","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2012-06-01","related-publications":[574398,574413,574356,417887,335444,168496,164899],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Jay Stokes","user_id":32427,"people_section":"Group 1","alias":"jstokes"}],"msr_research_lab":[199565],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/383300"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/383300\/revisions"}],"predecessor-version":[{"id":390875,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/383300\/revisions\/390875"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=383300"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=383300"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=383300"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=383300"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=383300"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}