RECENT SCHOLAR PUBLICATIONS
- Distilling Adversarial Robustness Using Heterogeneous TeachersJ Deng, A Palmer, R Mahmood, E Rathbun, J Bi, K Mahmood, D AguiararXiv preprint arXiv:2402.15586 2024
- Game Theoretic Mixed Experts for Combinational Adversarial Machine LearningE Rathbun, K Mahmood, S Ahmad, C Ding, M Van DijkarXiv preprint arXiv:2211.14669 2022
- Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial ExamplesN Xu, K Mahmood, H Fang, E Rathbun, C Ding, W WenarXiv preprint arXiv:2209.03358 2022
- Securing the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial ExamplesN Xu, K Mahmood, H Fang, E Rathbun, C Ding, W WenarXiv e-prints, arXiv: 2209.03358 2022
- Back in black: A comparative evaluation of recent state-of-the-art black-box attacksK Mahmood, R Mahmood, E Rathbun, M van DijkIEEE Access 10, 998-1019 2021