Oprea, Alina

Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

Jagielski, M., Oprea, A., Biggio, B., Liu, C., Nita-Rotaru, C., & Li, B. (2018) · 2018 IEEE Symposium on Security and Privacy (SP)

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 861

Extracting Training Data from Large Language Models

Carlini, N., Tramer, F., Wallace, E., Jagielski, M., Herbert-Voss, A., Lee, K., Roberts, A., Brown, T., Song, D., Erlingsson, U., et al. (2020) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 727

Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning

Cinà, A. E., Grosse, K., Demontis, A., Vascon, S., Zellinger, W., Moser, B. A., Oprea, A., Biggio, B., Pelillo, M., & Roli, F. (2023) · ACM Computing Surveys

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 152

Subpopulation Data Poisoning Attacks

Jagielski, M., Severi, G., Pousette Harger, N., & Oprea, A. (2021) · Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 86

Differentially Private Fair Learning

Jagielski, M., Kearns, M., Mao, J., Oprea, A., Roth, A., Sharifi-Malvajerdi, S., & Ullman, J. (2018) · arXiv

Privacy-Preserving Technologies in DataEthics and Social Impacts of AI

Cited by 62

FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments

Chernikova, A., & Oprea, A. (2022) · ACM Transactions on Privacy and Security

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 52

Practical scrubbing: Getting to the bad sector at the right time

Amvrosiadis, G., Oprea, A., & Schroeder, B. (2012) · IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012)

Advanced Data Storage TechnologiesSoftware System Performance and Reliability

Cited by 20

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation

Naseh, A., Peng, Y., Suri, A., Chaudhari, H., Oprea, A., & Houmansadr, A. (2025) · Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 3