ImF offers a novel approach to protect valuable LLM assets through implicit fingerprinting that overcomes vulnerabilities in existing methods.

• Creates semantically coherent fingerprint pairs that resist detection and removal
• Leverages implicit associations rather than explicit fingerprints
• Withstands the Generation Revision Intervention (GRI) attack that compromises conventional fingerprinting
• Provides stronger IP protection for resource-intensive LLM investments

As LLMs become core business assets, security techniques like ImF are essential for protecting proprietary AI technologies and maintaining competitive advantage in the market.

ImF: Implicit Fingerprint for Large Language Models