Towards Evaluating Driver Fatigue with Robust Deep Learning Models

no code implementations • 16 Jul 2020 • Ken Alparslan, Yigit Alparslan, Matthew Burlick

We develop an eye model by using new Eye-blink dataset and a face model by using the Closed Eyes in the Wild (CEW).

Data Augmentation Face Model

Adversarial Attacks against Neural Networks in Audio Domain: Exploiting Principal Components

no code implementations • 14 Jul 2020 • Ken Alparslan, Yigit Alparslan, Matthew Burlick

We achieve 100% adversarial success rate (zero successful classification by DeepSpeech) on all 25 adversarial wave forms that we crafted.

Classification General Classification

Towards Evaluating Gaussian Blurring in Perceptual Hashing as a Facial Image Filter

no code implementations • 1 Feb 2020 • Yigit Alparslan, Ken Alparslan, Mannika Kshettry, Louis Kratz

In this paper, we would like to propose to experiment with effect of gaussian blurring in perceptual hashing for detecting misuse of personal images specifically for face images.

Image Cropping text annotation

Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain

no code implementations • 30 Jan 2020 • Yigit Alparslan, Ken Alparslan, Jeremy Keim-Shenk, Shweta Khade, Rachel Greenstadt

Next, we craft a variety of different black-box attack algorithms on a facial image dataset assuming minimal adversarial knowledge, to further assess the robustness of DNNs in facial recognition.

Autonomous Vehicles