"PatchRNN: A Deep Learning-Based System for Security Patch Identification."

Xinda Wang et al. (2021)

> Home

Details and statistics

DOI: 10.1109/MILCOM52596.2021.9652940

access: closed

type: Conference or Workshop Paper

metadata version: 2024-12-12

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/milcom/WangWFSJBG21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/milcom/WangWFSJBG21
Xinda Wang, Shu Wang, Pengbin Feng, Kun Sun, Sushil Jajodia, Sanae Benchaaboun, Frank Geck:
PatchRNN: A Deep Learning-Based System for Security Patch Identification. MILCOM 2021: 595-600

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.