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Author

Hankai Liu

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#artificial intelligence Preprint Aug 2026

Selection-Invariant Communication Compilers for Privacy-Aware Multi-Agent LLM Workflows

Structured multi-agent workflows exchange intermediate messages whose content and form can reveal private state even when the final output is safe. We identify selection-channel leakage: after authorization fixes what may be released, a private-state-aware choice among semantically valid realizations creates an additio...

Jing-Heng Xu, Long-Ze Fan, Ze-Yuan Wang et al. · 0 citations
Preprint Aug 2026

Beyond Single-Use Tokens: Durable Authorization State for Replay-Resistant LLM Agent Actions

CapLease is introduced, an authorization-consumption layer that follows proposal- and authority-level defenses, binds an authenticated user confirmation to a canonical action, and enforces transactional Issue-Prepare-Commit transitions, which identifies durable authorization state, rather than token representation alon...

Jingheng Xu, Long-Ze Fan, Zeyuan Wang et al. · 2 citations
Preprint Aug 2026

MNC: Scope-Bound Semantic Declassification for Private LLM-Agent Communication

Minimum-Necessary Communication is introduced, a typed semantic-declassification protocol that selects a task-sufficient disclosure from an application-authored candidate family and binds it to explicit recipient, purpose, forwarding, lifetime, logging, and memory scopes.

Jingheng Xu, Longze Fan, Zeyuan Wang et al. · 0 citations
Preprint Jul 2026

Memory Provenance Laundering in LLM Agents: A Non-Amplification Firewall for Persistent Memory

This work identifies memory provenance laundering: during LLM-based memory consolidation, an external observation may be rewritten as apparent user history or workflow support, preserving an action trigger while erasing the low-trust source that should limit its authority.

Jing Xu, Yiyong Xiao, Wanru Shao et al. · 0 citations

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