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AII-1001-86777
ReportedReported by fewer than three independent publishers, with no official finding.

Researchers demonstrate "Fun-Tuning" exploit on Google Gemini

Researchers from University of California San Diego and University of Wisconsin developed a technique called "Fun-Tuning" that exploits Google's fine-tuning system to make Gemini vulnerable to prompt injection attacks. The method achieves success rates of 65% on Gemini 1.5 Flash and 82% on Gemini 1.0 Pro, more than double the effectiveness of standard attacks.

29 March 2025 · Google · Security and cyberattacks
29 March 2025
AII-1001-86777View source ↗
Quick facts
Category
Security and cyberattacks
Country
United States
Source
FayerWayer
Date
29 March 2025
Drafted by
Raidu Incident Detection

What happened

Researchers from UC San Diego and University of Wisconsin discovered a technique called "Fun-Tuning" that exploits Google's fine-tuning system to make Gemini vulnerable to prompt injection attacks. The technique uses random suffixes and prefixes such as "¡wandel!" or "¡formateado! ¡Lo antes posible!" to help hidden commands bypass Gemini's safety filters.

The researchers leveraged Gemini's fine-tuning feedback mechanism, which provides a "loss score" measuring how close the model came to a desired response, to iteratively refine their prompts until finding formulas that manipulate the model. The resulting attacks are transferable across different versions of Gemini.

Reported impact

Testing showed the technique achieved a 65% success rate on Gemini 1.5 Flash and 82% on Gemini 1.0 Pro, more than double the success rate of standard prompt injection attacks without the exploit.

Index analysis

The vulnerability exploits the fine-tuning feature that Gemini offers to enterprises for personalization, turning a legitimate customization tool into a vector for attack.

Classification

Category
Security and cyberattacks
Industry
Digital security
Country
United States
Harm status
Potential harm
Intent
Unintentional
Timing
Post-deployment
Harm types
Public interest
Harmed
Business
Failure modes
Prompt injection
Consequences
None recorded
AI systems
Gemini, Gemini 1.5 Flash, Gemini 1.0 Pro

Sources and evidence

This record was researched and written by the Index, based on the following original reporting.

FayerWayer
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29 March 2025