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Advanced analyses of CrazyFaces attacks on face identification systems

 
: Chen, Cong
: Kuijper, Arjan; Damer, Naser

Darmstadt, 2020, 42 S.
Darmstadt, TU, Bachelor Thesis, 2020
Englisch
Bachelor Thesis
Fraunhofer IGD ()
Lead Topic: Smart City; Research Line: Computer vision (CV); Research Line: Human computer interaction (HCI); biometric identification systems; face recognition; feature extraction

Abstract
After 5 years in prison, the greedy criminal was released. He never gave up the idea of sin again. But he didn’t want to spend another 5 years in prison. So he began to summarize the lessons of his last arrest. Five years ago, he was arrested at a bank because surveillance cameras identified him. This was a bit of a surprise to him, because this clever criminal had repeatedly escaped the pursuit of surveillance cameras by changing his facial expressions. After investigating, he learned that the face recognition system in that bank is a different one. Therefore, his previously trained facial expressions failed. So one new idea comes in his mind now, "can i just find one or more facial expressions that can disable most state-of-the-art face recognition systems?". To known the end of this story, please read the rest of this thesis.

: http://publica.fraunhofer.de/dokumente/N-578730.html