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Dive into the research topics where Shagufta Mehnaz is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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CAREER: Privacy Auditing Frameworks and Defenses for Machine Learning Models Trained on Tabular Data
Mehnaz, S. (PI)
7/15/25 → 6/30/30
Project: Research project
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CAREER: Privacy Auditing Frameworks and Defenses for Machine Learning Models Trained on Tabular Data
Mehnaz, S. (PI)
7/15/25 → 6/30/30
Project: Research project
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CICI: RSSD: Security-Centric and Verifiable Control Plane Cellular Traffic Collection
Mehnaz, S. (PI) & Hussain1@psuedu, S. R. H. (CoPI)
8/1/26 → 7/31/29
Project: Research project
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Baiting AI: Deceptive Adversary Against AI-Protected Industrial Infrastructures
Pasikhani, A., Gope, P., Yang, Y., Mehnaz, S. & Sikdar, B., May 1 2026, In: IEEE Transactions on Dependable and Secure Computing. 23, 3, p. 5320-5338 19 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Chain-of-Thought Driven Adversarial Scenario Extrapolation for Robust Language Models
Ur Rashid, M. R., Dasu, V. A., Wang, Y., Tan, G. & Mehnaz, S., 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 44 ed. Association for the Advancement of Artificial Intelligence, p. 37858-37866 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 44).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses
Kabir, E., Craig, L. & Mehnaz, S., 2025, Proceedings of the 34th USENIX Security Symposium. USENIX Association, p. 5445-5463 19 p. (Proceedings of the 34th USENIX Security Symposium).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage
Rashid, M. R. U., Liu, J., Koike-Akino, T., Wang, Y. & Mehnaz, S., Apr 11 2025, Special Track on AI Alignment. Walsh, T., Shah, J. & Kolter, Z. (eds.). 19 ed. Association for the Advancement of Artificial Intelligence, p. 20139-20147 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 19).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access7 Link opens in a new tab Scopus citations -
From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation
Sultana, N., Ur Rashid, M. R., Gu, K. & Mehnaz, S., 2025, EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025. Christodoulopoulos, C., Chakraborty, T., Rose, C. & Peng, V. (eds.). Association for Computational Linguistics (ACL), p. 22842-22859 18 p. (EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution