{"id":7249,"date":"2023-02-14T08:59:58","date_gmt":"2023-02-14T13:59:58","guid":{"rendered":"https:\/\/blogarchive.utc.edu\/campus-weekly\/?p=7249"},"modified":"2023-02-14T09:03:08","modified_gmt":"2023-02-14T14:03:08","slug":"notice-of-final-defense-david-schwab-to-present-dissertation-research","status":"publish","type":"post","link":"https:\/\/blogarchive.utc.edu\/campus-weekly\/2023\/02\/notice-of-final-defense-david-schwab-to-present-dissertation-research\/","title":{"rendered":"Notice of Final Defense &#8211; David Schwab to Present Dissertation Research"},"content":{"rendered":"\n<p>The UTC Graduate School is pleased to announce that\u00a0David Schwab will present Doctoral research titled,\u00a0AN EVALUATION OF THE ROBUSTNESS OF THE NATURAL-ADVERSARIAL MUTUAL INFORMATION-BASED DEFENSE AND MALWARE CLASSIFICATION AGAINST ADVERSARIAL ATTACKS FOR DEEP LEARNING on\u00a002\/24\/2023 at\u00a02:00 PM in\u00a0EMCS 312. Everyone is invited to attend.\u00a0<\/p>\n\n\n\n<p>Here is the information for the Zoom link for my dissertation for those of you who can not be present in person.<\/p>\n\n\n\n<p>Join from PC, Mac, Linux, iOS or Android: <a href=\"https:\/\/nam11.safelinks.protection.outlook.com\/?url=https%3A%2F%2Ftennessee.zoom.us%2Fj%2F9886989630&amp;data=05%7C01%7Cchuck-wasserstrom%40utc.edu%7C499644cc4ae948baa6ba08db0e94111c%7C515813d9717d45dd9eca9aa19c09d6f9%7C0%7C0%7C638119801321402226%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=novQKM71%2B5VkhDQyEVK%2FHhoju6PybDMSjiZyBwfZU1k%3D&amp;reserved=0\">https:\/\/tennessee.zoom.us\/j\/9886989630<\/a><br>Password: <strong>phd2023<\/strong><\/p>\n\n\n\n<p><br>Computational Science<br><br>Chair:\u00a0Dr. Li Yang<br><br>Co-Chair:\u00a0<br><br>Abstract:<br><br>In today\u2019s technology driven world, the use of Machine Learning (ML) systems is becoming ubiquitous, albeit often in the background, in many areas of daily life. ML systems are being used to detect malware, control autonomous vehicles, classify images, assist with medical diagnosis, and block internet ads with high precision. Although the use of these ML systems has become widespread in our society, there is the potential for systems used in high-stakes situations to make faulty predictions that can have serious consequences. Recently researchers have shown that even deep neural networks (DNNs) can be \u201cfooled\u201d into misclassifying an input sample that has been minimally modified in a specific way. These modified samples are known as adversarial examples and have been crafted with the goal of causing the target DNN to modify its behavior. It has been shown that adversarial examples can be crafted even when the attacker does not have access to the training parameters and model architecture of the victim DNN. An attack made under this threat model is known as a black-box attack and is made possible due to the transferability of adversarial examples from one model to another. In this dissertation we first present an overview of DNNs and capsule networks, the current known adversarial example crafting methods, defenses against adversarial examples, and possible explanations for the existence of adversarial examples. Next, we explore a novel technique that was recently developed that aims to use mutual information (MI) as an additional feature for the adversarial training of classification models called natural-adversarial mutual information-based defense (NAMID). We will describe our extensive evaluation of NAMID, as well as introduce our novel method for crafting adversarial examples termed MI-Craft. We will also apply NAMID to the domain of malware classification. We will compare MI-Craft to standard projected gradient descent for the creation of adversarial examples, as well as demonstrate the effectiveness of MI-Craft and NAMID under the CIFAR10 and MalImg datasets.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The UTC Graduate School is pleased to announce that\u00a0David Schwab will present Doctoral research titled,\u00a0AN EVALUATION OF THE ROBUSTNESS OF THE NATURAL-ADVERSARIAL MUTUAL INFORMATION-BASED DEFENSE AND MALWARE CLASSIFICATION AGAINST ADVERSARIAL ATTACKS FOR DEEP LEARNING on\u00a002\/24\/2023 at\u00a02:00 PM in\u00a0EMCS 312. Everyone is invited to attend.\u00a0 Here is the information for the Zoom link for my dissertation&hellip; <\/p>\n<p class=\"more-link-wrap\"><span><a class=\"more-link button text\" href=\"https:\/\/blogarchive.utc.edu\/campus-weekly\/2023\/02\/notice-of-final-defense-david-schwab-to-present-dissertation-research\/\"><span>Continue Reading <\/span><\/a><\/span><\/p>\n","protected":false},"author":1493,"featured_media":7115,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[8,15,120183,120186],"tags":[],"class_list":{"0":"post-7249","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-campus","8":"category-faculty-staff","9":"category-news","10":"category-students-news","11":"entry"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Notice of Final Defense - David Schwab to Present Dissertation Research - Campus Updates Archive<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Notice of Final Defense - David Schwab to Present Dissertation Research - Campus Updates Archive\" \/>\n<meta property=\"og:description\" content=\"The UTC Graduate School is pleased to announce that\u00a0David Schwab will present Doctoral research titled,\u00a0AN EVALUATION OF THE ROBUSTNESS OF THE NATURAL-ADVERSARIAL MUTUAL INFORMATION-BASED DEFENSE AND MALWARE CLASSIFICATION AGAINST ADVERSARIAL ATTACKS FOR DEEP LEARNING on\u00a002\/24\/2023 at\u00a02:00 PM in\u00a0EMCS 312. Everyone is invited to attend.\u00a0 Here is the information for the Zoom link for my dissertation&hellip; Continue Reading\" \/>\n<meta property=\"og:url\" content=\"https:\/\/blogarchive.utc.edu\/campus-weekly\/2023\/02\/notice-of-final-defense-david-schwab-to-present-dissertation-research\/\" \/>\n<meta property=\"og:site_name\" content=\"Campus Updates Archive\" \/>\n<meta property=\"article:published_time\" content=\"2023-02-14T13:59:58+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-02-14T14:03:08+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/blogarchive.utc.edu\/campus-weekly\/files\/2023\/02\/Power-C-22-15-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"600\" \/>\n\t<meta property=\"og:image:height\" content=\"404\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Chuck Wasserstrom\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Chuck Wasserstrom\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/blogarchive.utc.edu\\\/campus-weekly\\\/2023\\\/02\\\/notice-of-final-defense-david-schwab-to-present-dissertation-research\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/blogarchive.utc.edu\\\/campus-weekly\\\/2023\\\/02\\\/notice-of-final-defense-david-schwab-to-present-dissertation-research\\\/\"},\"author\":{\"name\":\"Chuck Wasserstrom\",\"@id\":\"https:\\\/\\\/blogarchive.utc.edu\\\/campus-weekly\\\/#\\\/schema\\\/person\\\/ba12ddef664be78c31809fda10eae4e5\"},\"headline\":\"Notice of Final Defense &#8211; 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