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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Enhancing Explainability and Performance in AI-Driven Face Recogni
 tion and Deepfake Detection
DTSTART:20241004T170000
DTSTAMP:20260316T092221Z
UID:ad73093bac0f0010d1a615406c71bf50ea3639c3ce1795ba09ffab9d
CATEGORIES:Thesis defenses
DESCRIPTION:Yuhang LU\nThesis Director: Prof. T. Ebrahimi\,\nElectrical En
 gineering doctoral program\nThesis Nr. 11323\n\nTo take part in the publi
 c defense\, please contact directly the speaker
LOCATION:ME B3 31 https://plan.epfl.ch/?room==ME%20B3%2031 https://epfl.zo
 om.us/j/62750294900?pwd=tbqZ46odz30sbpgntIFAsUIs6oGNXr.1
STATUS:CONFIRMED
END:VEVENT
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