Robust Wireless Fingerprinting via Complex-Valued Neural Networks. - Soorya Gopalakrishnan; Metehan Cekic; Upamanyu Madhow (GLOBECOM, 2019)

Polarizing Front Ends for Robust Cnns. - Can Bakiskan; Soorya Gopalakrishnan; Metehan Cekic; Upamanyu Madhow; Ramtin Pedarsani (ICASSP, 2020)

Robust Wireless Fingerprinting: Generalizing Across Space and Time. - Metehan Cekic; Soorya Gopalakrishnan; Upamanyu Madhow (CoRR, 2020)

A Neuro-Inspired Autoencoding Defense Against Adversarial Perturbations. - Can Bakiskan; Metehan Cekic; Ahmet Dundar Sezer; Upamanyu Madhow (CoRR, 2020)

Wireless Fingerprinting via Deep Learning: The Impact of Confounding Factors. - Metehan Cekic; Soorya Gopalakrishnan; Upamanyu Madhow (ACSCC, 2021)

A Neuro-Inspired Autoencoding Defense Against Adversarial Attacks. - Can Bakiskan; Metehan Cekic; Ahmet Dundar Sezer; Upamanyu Madhow (ICIP, 2021)

Sparse Coding Frontend for Robust Neural Networks. - Can Bakiskan; Metehan Cekic; Ahmet Dundar Sezer; Upamanyu Madhow (CoRR, 2021)

Self-Supervised Speaker Recognition Training using Human-Machine Dialogues. - Metehan Cekic; Ruirui Li 002; Zeya Chen; Yuguang Yang 004; Andreas Stolcke; Upamanyu Madhow (ICASSP, 2022)

Neuro-Inspired Deep Neural Networks with Sparse, Strong Activations. - Metehan Cekic; Can Bakiskan; Upamanyu Madhow (ICIP, 2022)

Towards robust, interpretable neural networks via Hebbian/anti-Hebbian learning: A software framework for training with feature-based costs. - Metehan Cekic; Can Bakiskan; Upamanyu Madhow (Softw. Impacts, 2022)

Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores. - Lucas Goncalves; Prashant Mathur; Chandrashekhar Lavania; Metehan Cekic; Marcello Federico; Kyu J. Han (ECCV (79), 2024)

PEAVS: Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores. - Lucas Goncalves; Prashant Mathur; Chandrashekhar Lavania; Metehan Cekic; Marcello Federico; Kyu J. Han (CoRR, 2024)