Paper

TrustMix: How to Mix Messages in a Mobile Ad-hoc Network

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arXiv:2606. 20251v1 Announce Type: new Abstract: Mix networks are a highly effective way to achieve anonymity, defending against a wide range of traffic-analysis attacks.

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Authors: Yu Shen, Aiswarya Walter, Stefanie Roos
Released: 2026-06-19 (20d ago)
Topic: Related to current project
Relation to my work: Read next because TrustMix: How to Mix Messages in a Mobile Ad-hoc Network 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: text, rect, eval, rate, implement, without, model. Source: arxiv cs.CR (Cryptography and Security).
arXiv: 2606.20251

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