{"693833":{"#nid":"693833","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Varkey John","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EDeception in Learning of Control Systems\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Vamvoudakis, Advisor\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDr. Wardi, Chair\u003C\/p\u003E\u003Cp\u003EDr. Zonouz\u003C\/p\u003E\u003Cp\u003EDr. Coogan\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe objective of the proposed research is to investigate attack and defense measures in deception of learning in control systems. Deception is studied as attacks that manipulate these systems to behave as intended by the adversary. We first study deception from the adversary\u0027s standpoint, and compute the optimal attack input to be added to deceive the controller\u0027s learning mechanism. This is studied under a non-zero sum game framework.\u0026nbsp; Secondly, we study deception from the defender\u0027s standpoint. In this, we first investigate how, under a Stackelberg game framework, the agent can optimally counteract the adversary\u0027s deception. We also develop a novel defense mechanism using `reinforcement unlearning\u0027 to remove the deception. We propose to extend our study to other systems such as networked control systems, and other game frameworks.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Deception in Learning of Control Systems"}],"uid":"28475","created_gmt":"2026-11-05 22:57:51","changed_gmt":"2026-11-05 22:58:04","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-12T12:30:00-05:00","event_time_end":"2026-11-12T14:30:00-05:00","event_time_end_last":"2026-11-12T14:30:00-05:00","gmt_time_start":"2026-11-12 17:30:00","gmt_time_end":"2026-11-12 19:30:00","gmt_time_end_last":"2026-11-12 19:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Room 317, Montgomery Knight ","extras":[],"groups":[{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"},{"id":"1808","name":"graduate students"}],"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":""}}}