Adversarial Machine Learning in Image Recognition

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Presentation transcript:

Adversarial Machine Learning in Image Recognition By: Tim Klem Advised by Graduate Student Vincent Bindschaedler

What is Adversarial Machine Learning?

Black-box Adversarial Attacks

Current Progress Built interface to interact with Face++ servers No API call caps! Explored image manipulation libraries in Python Created classification model to more closely model current literature

Future Goals Build locally-hosted machine learning model Reduce complexity of images Assess runtime of model training and inference