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On the Gaussian Measure Over Lattices.. New York University, USA, (2017)Fine-grained hardness of CVP(P) - Everything that we can prove (and nothing else)., , , and . SODA, page 1816-1835. SIAM, (2021)On the Lattice Distortion Problem., , and . ESA, volume 57 of LIPIcs, page 9:1-9:17. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2016)Extractor Lower Bounds, Revisited., , , , and . APPROX-RANDOM, volume 176 of LIPIcs, page 1:1-1:20. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2020)Slide Reduction, Revisited - Filling the Gaps in SVP Approximation., , , and . CRYPTO (2), volume 12171 of Lecture Notes in Computer Science, page 274-295. Springer, (2020)On the randomized complexity of range avoidance, with applications to cryptography and metacomplexity., , , , , and . Electron. Colloquium Comput. Complex., (2023)Recursive lattice reduction - A framework for finding short lattice vectors., , , and . CoRR, (2023)Solving the Closest Vector Problem in 2^n Time - The Discrete Gaussian Strikes Again!, , and . FOCS, page 563-582. IEEE Computer Society, (2015)A Time-Distance Trade-Off for GDD with Preprocessing - Instantiating the DLW Heuristic.. CCC, volume 137 of LIPIcs, page 11:1-11:8. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)Discrete Gaussian Sampling Reduces to CVP and SVP.. CoRR, (2015)