{"681598":{"#nid":"681598","#data":{"type":"event","title":"PhD Defense by James Choncholas","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E: Systems Ascribing Privacy to Optimization Methods\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate\u003C\/strong\u003E: Wednesday, April 16th, 2025\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime\u003C\/strong\u003E: 12:30 PM\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation\u003C\/strong\u003E: Klaus Room 3402\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EJames Choncholas\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EComputer Science\u0026nbsp;PhD\u0026nbsp;Student\u003C\/p\u003E\u003Cp\u003ESchool of Computer Science\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Ada Gavrilovska (Advisor) - School of Computer Science, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Ketan Bhardwaj - School of Computer Science, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Vladimir Kolesnikov - School\u0026nbsp;of Cybersecurity and Privacy, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Frank Li - School of Electrical and Computer Engineering, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Ling Liu - School of Computer Science, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E:\u003C\/p\u003E\u003Cp\u003EContemporary data analysis tasks, frequently formulated as optimization problems, face a critical efficiency challenge when privacy requirements prevent sharing data. Secure computation techniques like secure multiparty computation and homomorphic encryption are common candidates to introduce privacy, but their substantial performance overheads often make direct application impractical to optimization. This thesis explores how bespoke co-design of system architecture and cryptographic protocols achieves both practical performance and meaningful privacy guarantees in optimization tasks by exposing trade-offs between solution optimality and efficiency.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThis work presents three novel systems: Angler for decentralized, dark pool resource allocation, posing only 2x overhead compared to non-private solutions; Snail for multi-party visual localization, reducing computational overhead by two orders of magnitude compared to a straightforward private baseline; and Hadal, an extensible data-flow framework for privacy-preserving machine learning introducing homomorphic encryption and cryptography-aware optimizations to TensorFlow. Together, these contributions navigate new efficiency-accuracy trade-off frontiers while maintaining privacy guarantees, making secure optimization practical for real-world applications.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESystems Ascribing Privacy to Optimization Methods\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Systems Ascribing Privacy to Optimization Methods"}],"uid":"27707","created_gmt":"2025-04-04 13:47:22","changed_gmt":"2025-04-04 13:48:01","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-16T12:30:00-04:00","event_time_end":"2025-04-16T14:30:00-04:00","event_time_end_last":"2025-04-16T14:30:00-04:00","gmt_time_start":"2025-04-16 16:30:00","gmt_time_end":"2025-04-16 18:30:00","gmt_time_end_last":"2025-04-16 18:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Room 3402","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}