An Empirical Case Study of Prompt Engineering Strategies for Bypassing Multi-Layer Agent Security Defenses
cs.CR
Submitted: 2026-10-09
Updated: 2026-10-09
Comments: 5 pages, 6 tables. Accepted at The 2nd Workshop on AIGC Safety from Dual Perspectives of Model and Content (WS06), IJCAI-ECAI 2026. Case study from Track 1 of the OpenClaw Security Attack and Defense Challenge
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous Agents
- Prompt Injection attack against LLM-integrated Applications
- Universal and Transferable Adversarial Attacks on Aligned Language Models
Related papers
- SoK: AI-Augmented Binary Reversing
- Relaxed Sender Anonymity for CBDC Interbank Settlement: A Zero-Knowledge Approach on Permissioned EVM
- Calibration-Family Overfit: Why Trusted Sabotage Monitors Don't Transfer Across Lineages
- Estimating the Social Cost of Corporate Data Breaches
- Efficient Fuzzy PSI under One-Sided Assumptions
- Sealing the Audit-Runtime Gap for LLM Skills