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WHITE PAPER: A Brief Exploration of Data Exfiltration using GCG Suffixes

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arxiv 2408.00925 v1 pith:AHZ3JA3G submitted 2024-08-01 cs.CR cs.AI

classification cs.CRcs.AI
keywords dataattackexfiltrationsuffixxpiainjectionnearlyodds
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

The cross-prompt injection attack (XPIA) is an effective technique that can be used for data exfiltration, and that has seen increasing use. In this attack, the attacker injects a malicious instruction into third party data which an LLM is likely to consume when assisting a user, who is the victim. XPIA is often used as a means for data exfiltration, and the estimated cost of the average data breach for a business is nearly $4.5 million, which includes breaches such as compromised enterprise credentials. With the rise of gradient-based attacks such as the GCG suffix attack, the odds of an XPIA occurring which uses a GCG suffix are worryingly high. As part of my work in Microsoft's AI Red Team, I demonstrated a viable attack model using a GCG suffix paired with an injection in a simulated XPIA scenario. The results indicate that the presence of a GCG suffix can increase the odds of successful data exfiltration by nearly 20%, with some caveats.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. The Resurgence of GCG Adversarial Attacks on Large Language Models

    cs.CL 2025-08 conditional novelty 3.0 of 10

    The paper reports that GCG attack success drops with model size, prefix-based metrics overestimate harm, and coding prompts are more vulnerable, but these findings rest on a small model set and a GPT-4o pipeline that ...

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