cs.CR · 2026-09-30 · No. 129

Cryptography and Security, 2026-09-30.

3 new papers in cs.CR. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

3 entries
  1. 01

    Dagger: Decoupling-based Model Stealing Attack against Graph Neural Networks

    Ying Song, Xiaowei Jia, Balaji Palanisamy

    cs.CR · cs.AI · cs.LG

    As Graph Neural Networks (GNNs) are widely deployed as Machine Learning-as-a-Service (MLaaS) APIs, model stealing attacks have emerged as a critical security threat. By querying a victim model's black-box API, an adversary can construct a functionally equivalent surrogate model, compromising proprietary intellectual property and downstream security. Existing GNN stealing attacks, however, rely on overly permissive assumptions, such as...

    arxiv.org/abs/2609.37972 · PDF

  2. 02

    Making Duplicate Reimbursement Unrepresentable: A Verified Ethereum E-Invoice System for Humans and AI Agents

    Jia Cai

    cs.CR · cs.AI · cs.CE

    Electronic invoices are replacing paper invoices worldwide, but today's centralized architectures leave three problems unsolved on the consumption side: an invoice can be submitted for reimbursement repeatedly, authenticity is difficult for recipients to verify, and data is siloed at a central authority that forms both a performance bottleneck and a single point of failure. This paper presents the design, formal analysis, and implementation...

    arxiv.org/abs/2609.37819 · PDF

  3. 03

    Concealing LLM-Based Multi-Agent Topology via Phantom Structure Injection

    Longzhu He, Zelang Wen, Xinfeng Li, Sen Su, XiaoFeng Wang

    cs.CR · cs.AI

    Driven by the rapid advancement of large language models (LLMs), LLM-based multi-agent systems (MAS) have emerged as a powerful paradigm for collaborative reasoning over complex tasks. A key design element of MAS is the communication topology, which governs information flow among agents and often encodes proprietary knowledge about the system architecture. However, recent work has shown that such topologies can be inferred even in black-box...

    arxiv.org/abs/2609.37567 · PDF

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