Have a UROP opening you would like to submit?
Please fill out the form.
Techniques for Countering Adversarial Machine Learning
6: Electrical Engineering and Computer Science
May 7, 2020
Modern machine learning models (deep neural networks) provide impressive performance on many challenging inference tasks. Research has also shown, however, that they are vulnerable to attacks such as poisoned training data and adversarial inputs that cause neural networks to give unexpected results. This UROP will explore various mechanisms for detecting and/or countering such attacks.
Ability to develop and implement machine learning algorithms, including the use of modern machine learning packages such as PyTorch as required.