NDSS

Author(s): Alireza Saberi, Yangchun Fu, Zhiqiang Lin

Download: Paper (PDF)

Date: 22 Feb 2014

Document Type: Briefing Papers

Additional Documents: Slides

Associated Event: NDSS Symposium 2014

Abstract:

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.