PatchRNN: A Deep Learning-Based System for Security Patch Identification
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[1] David Lo,et al. A Deeper Look into Bug Fixes: Patterns, Replacements, Deletions, and Additions , 2016, 2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR).
[2] Rongrong Ji,et al. Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation , 2016, AAAI.
[3] Sushil Jajodia,et al. A Machine Learning Approach to Classify Security Patches into Vulnerability Types , 2020, 2020 IEEE Conference on Communications and Network Security (CNS).
[4] Min Yang,et al. PDiff: Semantic-based Patch Presence Testing for Downstream Kernels , 2020, CCS.
[5] Giovanni Vigna,et al. SPIDER: Enabling Fast Patch Propagation In Related Software Repositories , 2020, 2020 IEEE Symposium on Security and Privacy (SP).
[6] Zhendong Su,et al. An Empirical Study on Real Bug Fixes , 2015, 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering.
[7] Ahmed E. Hassan,et al. Security versus performance bugs: a case study on Firefox , 2011, MSR '11.
[8] David Lo,et al. Identifying Linux bug fixing patches , 2012, 2012 34th International Conference on Software Engineering (ICSE).
[9] Yang Liu,et al. SPAIN: Security Patch Analysis for Binaries towards Understanding the Pain and Pills , 2017, 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE).
[10] Md. Rayhanur Rahman,et al. Security and Performance Bug Reports Identification with Class-Imbalance Sampling and Feature Selection , 2018, 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR).
[11] Sushil Jajodia,et al. Detecting "0-Day" Vulnerability: An Empirical Study of Secret Security Patch in OSS , 2019, 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).
[12] Katerina Goseva-Popstojanova,et al. Identification of Security Related Bug Reports via Text Mining Using Supervised and Unsupervised Classification , 2018, 2018 IEEE International Conference on Software Quality, Reliability and Security (QRS).
[13] Gabriele Bavota,et al. Mining Unstructured Data in Software Repositories: Current and Future Trends , 2016, 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER).
[14] Vern Paxson,et al. A Large-Scale Empirical Study of Security Patches , 2017, CCS.
[15] Shouhuai Xu,et al. VulDeePecker: A Deep Learning-Based System for Vulnerability Detection , 2018, NDSS.
[16] Yaqin Zhou,et al. Automated identification of security issues from commit messages and bug reports , 2017, ESEC/SIGSOFT FSE.
[17] Hang Zhang,et al. Precise and Accurate Patch Presence Test for Binaries , 2018, USENIX Security Symposium.
[18] Abram Hindle,et al. Judging a commit by its cover; or can a commit message predict build failure? , 2016, PeerJ Prepr..
[19] Matthew Smith,et al. VCCFinder: Finding Potential Vulnerabilities in Open-Source Projects to Assist Code Audits , 2015, CCS.
[20] Alok Kumar,et al. Identifying Security Bug Reports Based Solely on Report Titles and Noisy Data , 2019, 2019 IEEE International Conference on Smart Computing (SMARTCOMP).