| Privacy in deep learning: A survey F Mireshghallah, M Taram, P Vepakomma, A Singh, R Raskar, ... arXiv preprint arXiv:2004.12254, 2020 | 128 | 2020 |
| What does it mean for a language model to preserve privacy? H Brown, K Lee, F Mireshghallah, R Shokri, F Tramèr Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 113 | 2022 |
| Shredder: Learning noise distributions to protect inference privacy F Mireshghallah, M Taram, P Ramrakhyani, A Jalali, D Tullsen, ... Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020 | 99* | 2020 |
| Releq: an automatic reinforcement learning approach for deep quantization of neural networks A Elthakeb, P Pilligundla, FS Mireshghallah, A Yazdanbakhsh, S Gao, ... NeurIPS ML for Systems workshop, 2018, 2019 | 94* | 2019 |
| Neither private nor fair: Impact of data imbalance on utility and fairness in differential privacy T Farrand, F Mireshghallah, S Singh, A Trask Proceedings of the 2020 workshop on privacy-preserving machine learning in …, 2020 | 88 | 2020 |
| Quantifying privacy risks of masked language models using membership inference attacks F Mireshghallah, K Goyal, A Uniyal, T Berg-Kirkpatrick, R Shokri arXiv preprint arXiv:2203.03929, 2022 | 73 | 2022 |
| ReLeQ : A Reinforcement Learning Approach for Automatic Deep Quantization of Neural Networks AT Elthakeb, P Pilligundla, F Mireshghallah, A Yazdanbakhsh, ... IEEE micro 40 (5), 37-45, 2020 | 61* | 2020 |
| Benchmarking differential privacy and federated learning for bert models P Basu, TS Roy, R Naidu, Z Muftuoglu, S Singh, F Mireshghallah arXiv preprint arXiv:2106.13973, 2021 | 53 | 2021 |
| An empirical analysis of memorization in fine-tuned autoregressive language models F Mireshghallah, A Uniyal, T Wang, DK Evans, T Berg-Kirkpatrick Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 52* | 2022 |
| Not all features are equal: Discovering essential features for preserving prediction privacy F Mireshghallah, M Taram, A Jalali, ATT Elthakeb, D Tullsen, ... Proceedings of the Web Conference 2021, 669-680, 2021 | 51* | 2021 |
| Mix and match: Learning-free controllable text generation using energy language models F Mireshghallah, K Goyal, T Berg-Kirkpatrick arXiv preprint arXiv:2203.13299, 2022 | 50 | 2022 |
| Flute: A scalable, extensible framework for high-performance federated learning simulations DD Mirian Hipolito Garcia, Andre Manoel, Daniel Madrigal Diaz, Fatemehsadat ... arXiv preprint arXiv:2203.13789, 2022 | 41* | 2022 |
| Membership inference attacks against language models via neighbourhood comparison J Mattern, F Mireshghallah, Z Jin, B Schölkopf, M Sachan, ... arXiv preprint arXiv:2305.18462, 2023 | 39 | 2023 |
| DP-SGD vs PATE: which has less disparate impact on model accuracy? A Uniyal, R Naidu, S Kotti, S Singh, PJ Kenfack, F Mireshghallah, A Trask arXiv preprint arXiv:2106.12576, 2021 | 31 | 2021 |
| Smaller language models are better black-box machine-generated text detectors F Mireshghallah, J Mattern, S Gao, R Shokri, T Berg-Kirkpatrick arXiv preprint arXiv:2305.09859, 2023 | 28 | 2023 |
| UserIdentifier: implicit user representations for simple and effective personalized sentiment analysis F Mireshghallah, V Shrivastava, M Shokouhi, T Berg-Kirkpatrick, R Sim, ... arXiv preprint arXiv:2110.00135, 2021 | 28 | 2021 |
| Privacy Regularization: Joint Privacy-Utility Optimization in Language Models F Mireshghallah, HA Inan, M Hasegawa, V Rühle, T Berg-Kirkpatrick, ... Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 27 | 2021 |
| Energy-efficient permanent fault tolerance in hard real-time systems FS Mireshghallah, M Bakhshalipour, M Sadrosadati, H Sarbazi-Azad IEEE Transactions on Computers 68 (10), 1539-1545, 2019 | 20 | 2019 |
| U-Noise: Learnable Noise Masks for Interpretable Image Segmentation T Koker, F Mireshghallah, T Titcombe, G Kaissis arXiv preprint arXiv:2101.05791, 2021 | 17 | 2021 |
| Can llms keep a secret? testing privacy implications of language models via contextual integrity theory N Mireshghallah, H Kim, X Zhou, Y Tsvetkov, M Sap, R Shokri, Y Choi arXiv preprint arXiv:2310.17884, 2023 | 13 | 2023 |
Taylor Berg-KirkpatrickUniversity of California San DiegoGeverifieerd e-mailadres voor ucsd.edu
