| Opportunities and challenges in deep learning adversarial robustness: A survey SH Silva, P Najafirad arXiv preprint arXiv:2007.00753, 2020 | 184 | 2020 |
| Deepfake forensics analysis: An explainable hierarchical ensemble of weakly supervised models SH Silva, M Bethany, AM Votto, IH Scarff, N Beebe, P Najafirad Forensic Science International: Synergy 4, 100217, 2022 | 60* | 2022 |
| Cooperative unmanned aerial vehicles with privacy preserving deep vision for real-time object identification and tracking SH Silva, P Rad, N Beebe, KKR Choo, M Umapathy Journal of parallel and distributed computing 131, 147-160, 2019 | 40 | 2019 |
| Deep learning poison data attack detection H Chacon, S Silva, P Rad 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 38 | 2019 |
| Temporal graph traversals using reinforcement learning with proximal policy optimization SH Silva, A Alaeddini, P Najafirad IEEE Access 8, 63910-63922, 2020 | 23 | 2020 |
| A multi-layer k-means approach for multi-sensor data pattern recognition in multi-target localization S Silva, R Suresh, F Tao, J Votion, Y Cao arXiv preprint arXiv:1705.10757, 2017 | 12 | 2017 |
| Adaptive clustering of robust semantic representations for adversarial image purification on social networks SH Silva, A Das, A Aladdini, P Najafirad Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022 | 9* | 2022 |
| Safeguardpf: Safety guaranteed reactive potential fields for mobile robots in unknown and dynamic environments RR Da Silva, S Silva, G Dubrovskiy, H Lin arXiv preprint arXiv:1609.07006, 2016 | 7 | 2016 |
| Towards targeted obfuscation of adversarial unsafe images using reconstruction and counterfactual super region attribution explainability M Bethany, A Seong, SH Silva, N Beebe, N Vishwamitra, P Najafirad 32nd USENIX Security Symposium (USENIX Security 23), 643-660, 2023 | 3 | 2023 |
| Robust Countermeasures for Adversarial Attacks on Deep Learning, Deep Reinforcement Learning, and Deepfake SH Silva The University of Texas at San Antonio, 2021 | 1 | 2021 |
Peyman Najafirad (Paul Rad)University of Texas at San AntonioEmail verificata su utsa.edu