1 citations · 1 across the 4 of their papers we have counts for
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Self-supervised Speaker Recognition Training Using Human-Machine Dialogues
Metehan Cekic, Ruirui Li, Zeya Chen +3
Speaker recognition, recognizing speaker identities based on voice alone, enables important downstream applications, such as personalization and authentication. Learning speaker re…
Sparse Coding Frontend for Robust Neural Networks
Can Bakiskan, Metehan Cekic, Ahmet Dundar Sezer +1
Deep Neural Networks are known to be vulnerable to small, adversarially crafted, perturbations. The current most effective defense methods against these adversarial attacks are var…
A Neuro-Inspired Autoencoding Defense Against Adversarial Perturbations
Can Bakiskan, Metehan Cekic, Ahmet Dundar Sezer +1
Deep Neural Networks (DNNs) are vulnerable to adversarial attacks: carefully constructed perturbations to an image can seriously impair classification accuracy, while being imperce…