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Even 1×n Edge-Matching and Jigsaw Puzzles are Really Hard., , , , , and . CoRR, (2017)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)Differentially Private Ad Conversion Measurement., , , , , , , , and . CoRR, (2024)Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3692-3701. PMLR, (2021)On Closest Pair in Euclidean Metric: Monochromatic is as Hard as Bichromatic., and . ITCS, volume 124 of LIPIcs, page 17:1-17:16. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)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)