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Analyzing Linear Layers in Related-Differential Cryptanalysis

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arXiv:2605. 27535v1 Announce Type: new Abstract: In AES-like ciphers, diffusion layers are commonly instantiated using MDS matrices, since their optimal branch number yields strong diffusion guarantees and underpins classical resistance arguments against differential and linear cryptanalysis.

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Authors: Yogesh Kumar, Akshay Ankush Yadav, Susanta Samanta
Released: 2026-05-28 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because Analyzing Linear Layers in Related-Differential Cryptanalysis overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: strong, class, under, line, rate. Source: arxiv cs.CR (Cryptography and Security).
arXiv: 2605.27535

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