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

Privacy and Security in Distributed Data Markets

Alabi, D., Galhotra, S., Mehnaz, S., Song, Z. & Wu, E., Jun 22 2025, SIGMOD-Companion 2025 - Companion of the 2025 International Conference on Management of Data. Deshpande, A., Aboulnaga, A., Salimi, B., Chandramouli, B., Howe, B., Loo, B. T., Glavic, B., Curino, C., Zhe Wang, D., Suciu, D., Abadi, D., Srivastava, D., Wu, E., Nawab, F., Ilyas, I., Naughton, J., Rogers, J., Patel, J., Arulraj, J., Yang, J., Echihabi, K., Ross, K., Daudjee, K., Lakshmanan, L., Garofalakis, M., Riedewald, M., Mokbel, M., Ouzzani, M., Kennedy, O., Kennedy, O., Papotti, P., Alvaro, P., Bailis, P., Miller, R., Roy, S. B., Melnik, S., Idreos, S., Roy, S., Rekatsinas, T., Leis, V., Zhou, W., Gatterbauer, W. & Ives, Z. (eds.). Association for Computing Machinery, p. 775-787 13 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Robust Unlearning for Large Language Models

Gu, K., Rashid, M. R. U., Sultana, N. & Mehnaz, S., 2025, Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Proceedings. Wu, X., Spiliopoulou, M., Wang, C., Kumar, V., Cao, L., Wu, Y., Wu, Z. & Yao, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 143-155 13 p. (Lecture Notes in Computer Science; vol. 15874 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks

Kabir, E., Song, Z., Ur Rashid, M. R. & Mehnaz, S., 2024, Proceedings - 45th IEEE Symposium on Security and Privacy, SP 2024. Institute of Electrical and Electronics Engineers Inc., p. 2572-2590 19 p. (Proceedings - IEEE Symposium on Security and Privacy).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Semantic-Preserving Adversarial Example Attack against BERT

Gao, C., Gu, K., Vosoughi, S. & Mehnaz, S., 2024, TrustNLP 2024 - 4th Workshop on Trustworthy Natural Language Processing, Proceedings of the Workshop. Ovalle, A., Chang, K.-W., Cao, Y. T., Mehrabi, N., Zhao, J., Galstyan, A., Dhamala, J., Kumar, A. & Gupta, R. (eds.). Association for Computational Linguistics (ACL), p. 202-207 6 p. (TrustNLP 2024 - 4th Workshop on Trustworthy Natural Language Processing, Proceedings of the Workshop).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution