SOTAVerified

Model extraction

Model extraction attacks, aka model stealing attacks, are used to extract the parameters from the target model. Ideally, the adversary will be able to steal and replicate a model that will have a very similar performance to the target model.

Papers

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Showing 171–176 of 176 papers

TitleStatusHype
Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC—0
Interpretability via Model Extraction—0
Interpreting Blackbox Models via Model Extraction—0
Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking—0
Stealing Machine Learning Models via Prediction APIsCode0
Bound Your Models! How to Make OWL an ASP Modeling Language—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1three-step-originalExact Match0.17—Unverified