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New BadBone attack targets visual prompt learning models

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced BadBone, a novel backdoor attack targeting visual prompt learning models. This attack compromises the backbone model, causing downstream tasks that use prompt learning to inherit vulnerabilities. Experiments show BadBone is effective against existing defenses, highlighting the need for new security measures in this area. AI

IMPACT Highlights critical security vulnerabilities in prompt learning, necessitating new defense strategies for AI model integrity.

RANK_REASON The cluster contains an academic paper detailing a new attack method.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New BadBone attack targets visual prompt learning models

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The cluster contains an academic paper detailing a new attack method.
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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Ziqing Yang, Rui Wen, Xinlei He, Yun Shen, Michael Backes, Yang Zhang ·

    BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning

    arXiv:2605.31246v1 Announce Type: cross Abstract: Prompt learning is a new machine learning paradigm that has attracted ample attention due to its simplicity and proven efficacy. Despite its growing adoption, the security vulnerabilities associated with this paradigm remain under…

  2. arXiv cs.CV TIER_1 English(EN) · Yang Zhang ·

    BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning

    Prompt learning is a new machine learning paradigm that has attracted ample attention due to its simplicity and proven efficacy. Despite its growing adoption, the security vulnerabilities associated with this paradigm remain underexplored. In this work, we take the first step to …

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