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Arxiv
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SnatchML: Hijacking ML models without Training Access
- Model hijacking can cause significant accountability and security risks.
- SnatchML is a training-free model hijacking attack that targets inference-time.
- SnatchML leverages the over-parameterization of ML models to infer different tasks.
- The study proposes countermeasures to mitigate the risks of model hijacking.
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