Masked Differential-linear Distinguishers and Quantum Approaches
This paper introduces masked auto-correlation as a generalized primitive for cryptanalysis, proposes a quantum algorithm that exponentially outperforms classical methods in identifying high-correlation distinguishers (MAC Fishing), and demonstrates its application in constructing capacity-based attacks with quadratic quantum speed-ups.
Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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