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New "Radioactive Watermark" Protects Protein Generative Models

Researchers have developed MARCO, a novel "radioactive watermark" designed to protect protein generative models (PGMs) from misuse. This framework aims to prevent unauthorized model extraction and deter biosecurity threats by embedding a watermark that transfers to outputs of pirated models. MARCO achieves this through a dual-layer defense, using an auxiliary encoder-decoder to embed watermarks without altering the original PGM parameters and employing specialized loss functions to ensure robustness against attacks. AI

IMPACT This new watermarking technique could help secure advanced AI models used in biological research and development.

RANK_REASON The cluster contains an academic paper detailing a new technical method. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New "Radioactive Watermark" Protects Protein Generative Models

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The cluster contains an academic paper detailing a new technical method. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Huajie Chen, Xin Guo, Yuchen Shi, Yuchen Zhong, Minhui Xue, Chi Liu, Congcong Zhu, Kun Gao, Minfeng Qi, Tianqing Zhu ·

    MARCO: The Radioactive Watermark for Protein Generative Models

    arXiv:2610.08316v1 Announce Type: cross Abstract: Protein Generative Models (PGMs) have revolutionized structural biology by enabling the design of complex 3D protein structures from sequence data. However, this breakthrough introduces a dual-use challenge, exposing high-value PG…