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Thousands of security vulnerabilities are discovered in production software each year, either reported publicly to the Common Vulnerabilities and Exposures database or discovered internally in proprietary code.
Foundations of statistical natural language processing
1999
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Data mining methods for detection of new malicious executables
2001
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N-gram-based detection of new malicious code
2004
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Llvm: A compilation framework for lifelong program analysis & transformation
2004
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Extremely randomized trees
2006
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Learning to detect and classify malicious executables in the wild
2006
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Maintaining mental models: A study of developer work habits
2006
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Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey
2009
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A memory model for static analysis of c programs
2010
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Malware variant detection using similarity search over sets of control flow graphs
2011
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Genprog: A generic method for automatic software repair
2012
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Generalized vulnerability extrapolation using abstract syntax trees
2012
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Using web corpus statistics for program analysis
2014
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Convolutional neural networks for sentence classification
2014
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Distributed representations of sentences and documents
2014
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Predicting program properties from big code
2015
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Toward deep learning software repositories
2015
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Automatic patch generation by learning correct code
2016
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A Survey of Machine Learning for Big Code and Naturalness
2017
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After equifax hack, calls for big changes in credit reporting industry
2017
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Neural nets can learn function type signatures from binaries
2017
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Deepfix: Fixing common c language errors by deep learning
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Code completion with statistical language models
2014
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After heartbleed bug, a race to plug internet hole
2014
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Clang static analyzer
Cited in the paper.
Debian - the universal operating system
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Hp fortify
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Common vulnerabilities and exposures
Cited in the paper.
2017
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Juliet test suite v1.3
2017
Later among the works it cites.