#model-protection News & Analysis

3 articles tagged with #model-protection. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBearisharXiv – CS AI · Apr 147/10

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Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language Models

Researchers have developed Adaptive Stealing (AS), a novel watermark stealing algorithm that exploits vulnerabilities in LLM watermarking systems by dynamically selecting optimal attack strategies based on contextual token states. This advancement demonstrates that existing fixed-strategy watermark defenses are insufficient, highlighting critical security gaps in protecting proprietary LLM services and raising urgent questions about watermark robustness.

AINeutralarXiv – CS AI · Mar 126/10

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RandMark: On Random Watermarking of Visual Foundation Models

Researchers propose RandMark, a new method for watermarking visual foundation models to protect intellectual property rights. The approach uses a small encoder-decoder network to embed random digital watermarks into internal representations, enabling ownership verification with low false detection rates.

AIBullisharXiv – CS AI · Mar 66/10

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Authorize-on-Demand: Dynamic Authorization with Legality-Aware Intellectual Property Protection for VLMs

Researchers propose AoD-IP, a new framework for protecting intellectual property in vision-language models through dynamic authorization and legality-aware assessment. The system allows flexible, user-controlled authorization that can adapt to changing deployment scenarios while preventing unauthorized use of valuable AI models.