| Pretrained transformers improve out-of-distribution robustness D Hendrycks, X Liu, E Wallace, A Dziedzic, R Krishnan, D Song ACL 2020, 2020 | 488 | 2020 |
| When the curious abandon honesty: Federated learning is not private F Boenisch, A Dziedzic, R Schuster, AS Shamsabadi, I Shumailov, ... Euro S&P 2023, 2021 | 211 | 2021 |
| Testing robustness against unforeseen adversaries DH Max Kaufmann, Daniel Kang, Yi Sun, Steven Basart, Xuwang Yin, Mantas ... https://arxiv.org/abs/1908.08016, 2019 | 151* | 2019 |
| Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models H Duan, A Dziedzic, N Papernot, F Boenisch NeurIPS (Neural Information Processing Systems), 2023 | 74 | 2023 |
| CaPC Learning: Confidential and Private Collaborative Learning CA Choquette-Choo, N Dullerud, A Dziedzic, Y Zhang, S Jha, N Papernot, ... ICLR (International Conference on Learning Representations), 2021 | 72 | 2021 |
| Demonstrating the BigDAWG Polystore System for Ocean Metagenomics Analysis. T Mattson, V Gadepally, Z She, A Dziedzic, J Parkhurst CIDR, 2017 | 70 | 2017 |
| Band-limited Training and Inference for Convolutional Neural Networks A Dziedzic, I Paparizzos, S Krishnan, A Elmore, M Franklin ICML (International Conference on Machine Learning), 2019 | 61 | 2019 |
| BigDAWG V Gadepally, K O'Brien, A Dziedzic, A Elmore, J Kepner, S Madden, ... IEEE High Performance Extreme, 2017 | 45* | 2017 |
| On the privacy risk of in-context learning H Duan, A Dziedzic, M Yaghini, N Papernot, F Boenisch arXiv preprint arXiv:2411.10512, 2024 | 37 | 2024 |
| Data Transformation and Migration in Polystores A Dziedzic, A Elmore, M Stonebraker HPEC 2016, 2016 | 35 | 2016 |
| Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios A Dziedzic, V Sathya, M Rochman, M Ghosh, S Krishnan IEEE Open Journal of Vehicular Technology, 2020 | 34 | 2020 |
| Increasing the Cost of Model Extraction with Calibrated Proof of Work A Dziedzic, MA Kaleem, YS Lu, N Papernot ICLR (International Conference on Learning Representations), 2022 | 33 | 2022 |
| Preoperative paraspinal neck muscle characteristics predict early onset adjacent segment degeneration in anterior cervical fusion patients: a machine‐learning modeling analysis AYL Wong, G Harada, R Lee, SD Gandhi, A Dziedzic, A Espinoza‐Orias, ... Journal of Orthopaedic Research® 39 (8), 1732-1744, 2021 | 33 | 2021 |
| Integrating Real-Time and Batch Processing in a Polystore J Meehan, S Zdonik, S Tian, Y Tian, N Tatbul, A Dziedzic, A Elmore HPEC 2016, 2016 | 32 | 2016 |
| Dataset Inference for Self-Supervised Models A Dziedzic, H Duan, MA Kaleem, N Dhawan, J Guan, Y Cattan, ... NeurIPS (Neural Information Processing Systems), 2022 | 31 | 2022 |
| Deeplens: Towards a visual data management system S Krishnan, A Dziedzic, AJ Elmore CIDR (Conference on Innovative Data Systems Research), 2018 | 29 | 2018 |
| On the Difficulty of Defending Self-Supervised Learning against Model Extraction A Dziedzic, N Dhawan, MA Kaleem, J Guan, N Papernot ICML (International Conference on Machine Learning), 2022 | 28 | 2022 |
| LLM Dataset Inference: Did you train on my dataset? P Maini, H Jia, N Papernot, A Dziedzic NeurIPS (Neural Information Processing Systems), 2024 | 27 | 2024 |
| Columnstore and B+ tree-Are Hybrid Physical Designs Important? A Dziedzic, J Wang, S Das, B Ding, VR Narasayya, M Syamala Proceedings of the 2018 International Conference on Management of Data …, 2018 | 24 | 2018 |
| DBMS Data Loading: An Analysis on Modern Hardware A Dziedzic, M Karpathiotakis, I Alagiannis, R Appuswamy, A Ailamaki ADMS 2016, 2016 | 22 | 2016 |
Franziska BoenischAssistant Professor, CISPA Helmholtz Center for Information SecurityEmail được xác minh tại cispa.de