Adversarial Robustness of Phishing Email Detection Models

Author:

Mehdi Gholampour Parisa1ORCID,Verma Rakesh M.1ORCID

Affiliation:

1. University of Houston, Houston, TX, USA

Funder

NSF

DGE

ARO

ONR

Publisher

ACM

Reference40 articles.

1. PWDGAN: Generating Adversarial Malicious URL Examples for Deceiving Black-Box Phishing Website Detector using GANs

2. Scaling and Effectiveness of Email Masquerade Attacks

3. Scam Augmentation and Customization: Identifying Vulnerable Users and Arming Defenders

4. Markus Bayer , Tobias Frey , and Christian Reuter . 2022. Multi-Level Fine-Tuning , Data Augmentation, and Few-Shot Learning for Specialized Cyber Threat Intelligence. arXiv preprint arXiv:2207.11076 ( 2022 ). Markus Bayer, Tobias Frey, and Christian Reuter. 2022. Multi-Level Fine-Tuning, Data Augmentation, and Few-Shot Learning for Specialized Cyber Threat Intelligence. arXiv preprint arXiv:2207.11076 (2022).

5. Daniel Cer , Yinfei Yang , Sheng-yi Kong, Nan Hua , Nicole Limtiaco , Rhomni St John , Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, et al. 2018 . Universal sentence encoder. arXiv preprint arXiv:1803.11175 (2018). Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, et al. 2018. Universal sentence encoder. arXiv preprint arXiv:1803.11175 (2018).

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1. LLMs for Explainable Few-shot Deception Detection;Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics;2024-06-19

2. Mitigating Email Phishing: Analytical Framework, Simulation Models, and Preventive Measures;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12

3. Lambda Architecture-Based Big Data System for Large-Scale Targeted Social Engineering Email Detection;International Journal of Information Security Science;2023-09-30

4. Enhancing Phishing Email Detection through Ensemble Learning and Undersampling;Applied Sciences;2023-07-28

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