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Large-Scale Differentially Private BERT.

, , , , and . EMNLP (Findings), page 6481-6491. Association for Computational Linguistics, (2022)

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Even 1×n Edge-Matching and Jigsaw Puzzles are Really Hard., , , , , and . CoRR, (2017)Almost-Polynomial Ratio ETH-Hardness of Approximating Densest k-Subgraph.. Electron. Colloquium Comput. Complex., (2016)Improved Lower Bound for Differentially Private Facility Location.. CoRR, (2024)A Note on Max k-Vertex Cover: Faster FPT-AS, Smaller Approximate Kernel and Improved Approximation.. SOSA, volume 69 of OASIcs, page 15:1-15:21. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)Improved Inapproximability of VC Dimension and Littlestone's Dimension via (Unbalanced) Biclique.. ITCS, volume 251 of LIPIcs, page 85:1-85:18. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Algorithms with More Granular Differential Privacy Guarantees., , , and . ITCS, volume 251 of LIPIcs, page 54:1-54:24. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Cryptographic Hardness of Learning Halfspaces with Massart Noise., , , and . NeurIPS, (2022)Private Robust Estimation by Stabilizing Convex Relaxations., , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 723-777. PMLR, (2022)Deep Learning with Label Differential Privacy., , , , and . NeurIPS, page 27131-27145. (2021)Nearly Optimal Robust Secret Sharing Against Rushing Adversaries., , and . CRYPTO (3), volume 12172 of Lecture Notes in Computer Science, page 156-185. Springer, (2020)