{"632595":{"#nid":"632595","#data":{"type":"event","title":"PhD Defense by Samira Samadi","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;Human Aspects of Machine Learning\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESamira Samadi\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Computer Science\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECollege of Computing\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\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003E Thursday, March 5th, 2020\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E 11:00 am - 12:30 pm (EST)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E Klaus 1315\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Santosh Vempala (Advisor, School of Computer Science, Georgia Institute of Technology)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Adam Kalai (Senior Principal Researcher, Microsoft Research New England)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Jamie Morgenstern (School of Computer Science \u0026amp; Engineering, University of Washington)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Vivek Sarkar (School of Computer Science, Georgia Institute of Technology)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Mohit Singh (School of Industrial \u0026amp; Systems Engineering, Georgia Institute of Technology)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs humans are inevitably being influenced by machine learning algorithms, it is crucial to study the human aspects of these algorithms. In my research, I investigate several ML paradigms from the viewpoint of human usability, security, and fairness.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nIn the first line of work, I study human usability and security of password strategies \u0026mdash; mental algorithms proposed by Blum and Vempala to help people calculate, in their heads, passwords for different websites without dependence on external devices. I present the first usability study of two password strategies: the 3-word strategy and the letter-code strategy. Furthermore, I show that given a limited amount of memorization, there are humanly usable password strategies that achieve the information-theoretic highest security guarantee.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nIn the second line of work, I investigate different fairness criteria for several machine learning techniques including principal component analysis (PCA) and spectral clustering. I show on real-world data sets that PCA can inadvertently produce low-dimensional representations with different fidelity for two different populations (e.g., lighter- versus darker-skin tone individuals). I define the notion of Fair PCA and present an efficient algorithm for finding a low-dimensional representation of the data which is nearly-optimal for this measure. I conclude by a study of spectral clustering with the constraint that every demographic is proportionally represented in each cluster. For this goal, I develop variants of constrained spectral clustering and show that they help find fairer clusterings on real data.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Human Aspects of Machine Learning"}],"uid":"27707","created_gmt":"2020-02-18 17:28:36","changed_gmt":"2020-02-18 17:28:36","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-05T11:00:00-05:00","event_time_end":"2020-03-05T12:30:00-05:00","event_time_end_last":"2020-03-05T12:30:00-05:00","gmt_time_start":"2020-03-05 16:00:00","gmt_time_end":"2020-03-05 17:30:00","gmt_time_end_last":"2020-03-05 17:30:00","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":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"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":""}}}