| 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 | 33 | 2022 |
| Large language model lateral spear phishing: A comparative study in large-scale organizational settings M Bethany, A Galiopoulos, E Bethany, MB Karkevandi, N Vishwamitra, ... arXiv preprint arXiv:2401.09727, 2024 | 7 | 2024 |
| 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 |
| Can Hierarchical Transformers Learn Facial Geometry? P Young, N Ebadi, A Das, M Bethany, K Desai, P Najafirad Sensors 23 (2), 929, 2023 | 2 | 2023 |
| Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually M Bethany, B Wherry, N Vishwamitra, P Najafirad Proceedings of the AAAI Conference on Artificial Intelligence (2024), 2024 | | 2024 |
| Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text M Bethany, B Wherry, E Bethany, N Vishwamitra, P Najafirad arXiv preprint arXiv:2401.09407, 2024 | | 2024 |
Peyman Najafirad (Paul Rad)University of Texas at San AntonioVerified email at utsa.edu
