Mireshghallah, Fatemehsadat

What Does it Mean for a Language Model to Preserve Privacy?

Brown, H., Lee, K., Mireshghallah, F., Shokri, R., & Tramèr, F. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Privacy-Preserving Technologies in DataEthics and Social Impacts of AI

Cited by 165

Privacy in Deep Learning: A Survey

Mireshghallah, F., Taram, M., Vepakomma, P., Singh, A., Raskar, R., & Esmaeilzadeh, H. (2020) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 106

Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy

Mireshghallah, F., Taram, M., Jalali, A., Elthakeb, A. T., Tullsen, D., & Esmaeilzadeh, H. (2020) · arXiv

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 44

Membership Inference Attacks against Language Models via Neighbourhood Comparison

Mattern, J., Mireshghallah, F., Jin, Z., Schölkopf, B., Sachan, M., & Berg-Kirkpatrick, T. (2023) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 4