{"654719":{"#nid":"654719","#data":{"type":"event","title":"PhD Defense by Tianxin Tang","body":[{"value":"\u003Cp\u003ETitle: Privacy Protection of Outsourced Data\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDate: WED January 26, 2022\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETime: 9:00 AM-10:30 AM (EST)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELocation:\u0026nbsp;\u003Ca href=\u0022https:\/\/bluejeans.com\/134968817\/4914\u0022\u003Ehttps:\/\/bluejeans.com\/134968817\/4914\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommittee:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Alexandra Boldyreva (Advisor) - School of Computer Science, Georgia Institute of Technology, USA\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Joseph Jaeger - School of Cybersecurity and Privacy, Georgia Institute of Technology, USA\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Vladimir Kolesnikov - School of Computer Science, Georgia Institute of Technology, USA\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Wenke Lee - School of Computer Science, Georgia Institute of Technology, USA\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Bogdan Warinschi - School of Computer Science, University of Bristol, UK\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETianxin Tang\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPhD candidate in Computer Science\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Computer Science\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAbstract:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOver time, the data we access on the cloud every day through services such as\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGoogle Drive and Apple iCloud outlines our habits and interests, leaving traces\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eof our digital selves. Naturally, storing such data without protection exposes\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eus to intrusive third-party marketing and, in some cases, targeted\u003C\/p\u003E\r\n\r\n\u003Cp\u003Escams. Significant security risks and increased public awareness demand\u003C\/p\u003E\r\n\r\n\u003Cp\u003Epractical solutions that enable clients to access the data privately.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis thesis targets the privacy aspect of public and private outsourced data.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe consider the keyless setting for public data, where multiple clients\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eoutsource their data to the cloud, which facilitates the client\u0026#39;s access while\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eproviding some privacy protection. In particular, we investigate how to add\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eprivacy to public fuzzy-searchable databases by restricting access to people who\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eown data close to parts of the database, thereby preventing massive harvesting.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe then turn to private outsourced data, which we also refer to as the\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;classical outsourced setting\u0026quot; --- \ufeffthe client encrypts their data using their\u003C\/p\u003E\r\n\r\n\u003Cp\u003Esecret key and uploads it to the cloud, where it is later made available for\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eprivate access. Due to recent leakage-abusive attacks that successfully\u003C\/p\u003E\r\n\r\n\u003Cp\u003Erecovered queries or reconstructed the database by exploiting the leakage that\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eseemed innocuous previously, we focus on minimizing that leakage while\u003C\/p\u003E\r\n\r\n\u003Cp\u003Esupporting versatile functionality. Specifically, we show how to perform\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eprivacy-preserving approximate k-NN search on high-dimensional data with strong\u003C\/p\u003E\r\n\r\n\u003Cp\u003Esecurity. We also provide an efficiency evaluation of our implementations\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eon multiple datasets. Finally, we show how to build a secure multi-map\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ethat yields a searchable encryption scheme supporting keyword search with\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eminimal leakage. Our construction outperforms the only existing theoretical\u003C\/p\u003E\r\n\r\n\u003Cp\u003Econstruction with comparable security in concrete complexity, while achieving\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ereasonable performance on real-world email databases.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Privacy Protection of Outsourced Data"}],"uid":"27707","created_gmt":"2022-01-24 16:24:32","changed_gmt":"2022-01-24 16:24:32","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-01-26T09:00:00-05:00","event_time_end":"2022-01-26T11:00:00-05:00","event_time_end_last":"2022-01-26T11:00:00-05:00","gmt_time_start":"2022-01-26 14:00:00","gmt_time_end":"2022-01-26 16:00:00","gmt_time_end_last":"2022-01-26 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"}],"invited_audience":[{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}