Regularization and Sparsity for Adversarial Robustness and Stable Attribution. - Daniel Schwartz; Yigit Alparslan; Edward Kim 006 (ISVC (1), 2020)

Perfecting the Crime Machine. - Yigit Alparslan; Ioanna Panagiotou; Willow Livengood; Robert Kane; Andrew Cohen (CoRR, 2020)

Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain. - Yigit Alparslan; Jeremy Keim-Shenk; Shweta Khade; Rachel Greenstadt (CoRR, 2020)

Towards Evaluating Gaussian Blurring in Perceptual Hashing as a Facial Image Filter. - Yigit Alparslan; Mannika Kshettry; Louis Kratz (CoRR, 2020)

Adversarial Attacks against Neural Networks in Audio Domain: Exploiting Principal Components. - Ken Alparslan; Yigit Alparslan; Matthew Burlick (CoRR, 2020)

Towards Evaluating Driver Fatigue with Robust Deep Learning Models. - Ken Alparslan; Yigit Alparslan; Matthew Burlick (CoRR, 2020)

Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems. - Yigit Alparslan; Ethan Jacob Moyer; Isamu Mclean Isozaki; Daniel Schwartz; Adam Dunlop; Shesh Dave; Edward Kim 006 (IJCNN, 2021)

Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures. - Yigit Alparslan; Ethan Jacob Moyer; Edward Kim 006 (CoRR, 2021)

Robust SleepNets. - Yigit Alparslan; Edward Kim 006 (CoRR, 2021)

Extreme Volatility Prediction in Stock Market: When GameStop meets Long Short-Term Memory Networks. - Yigit Alparslan; Edward Kim 006 (CoRR, 2021)

Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network. - Ethan Jacob Moyer; Jeff Winchell; Isamu Isozaki; Yigit Alparslan; Mali Halac; Edward Kim 006 (CoRR, 2021)

ATRAS: Adversarially Trained Robust Architecture Search. - Yigit Alparslan; Edward Kim 006 (CoRR, 2021)