Hardness Self-Amplification: Simplified, Optimized, and Unified
Author:
Affiliation:
1. National Institute of Informatics, Japan
2. Tokyo Institute of Technology, Japan
Funder
Japan Science and Technology Agency
Japan Society for the Promotion of Science
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3564246.3585189
Reference57 articles.
1. A Refined Laser Method and Faster Matrix Multiplication
2. Testing k-wise and almost k-wise independence
3. Public-key cryptography from different assumptions
4. Worst-case to average-case reductions via additive combinatorics
5. Average-case fine-grained hardness
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2. k-SUM in the Sparse Regime: Complexity and Applications;Lecture Notes in Computer Science;2024
3. Hardness Self-Amplification: Simplified, Optimized, and Unified;Proceedings of the 55th Annual ACM Symposium on Theory of Computing;2023-06-02
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