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

2. What is Adversarial Machine Learning?

3. Black-box Adversarial Attacks

4. 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

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