Hybrid-Bridge: Efficiently Bridging the Semantic-Gap in VMI via Decoupled Execution and Training Memoization

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Presented at NDSS 2014 by

Yangchun Fu

Zhiqiang Lin

Alireza Saberi

Recent advances show that we can reuse the legacy binary code to bridge the semantic gap for VMI. However, existing solutions often have high overhead. This paper presents Hybrid-Bridge, a new system that uses decoupled execution and training memorization to bridge the semantic-gap, resulting in one order of magnitude faster according to our experimental results.