Deceiving Neural Source Code Classifiers: Finding Adversarial Examples with Grammatical Evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Ferretti:2021:SECDEF,
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author = "Claudio Ferretti and Martina Saletta",
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title = "Deceiving Neural Source Code Classifiers: Finding
Adversarial Examples with Grammatical Evolution",
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booktitle = "Genetic and Evolutionary Computation in Defense,
Security, and Risk",
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year = "2021",
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editor = "Riyad Alshammari and Erik Hemberg and
Tokunbo Makanju",
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pages = "1889--1897",
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address = "internet",
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series = "GECCO '21",
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month = jul # " 10-14",
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organisation = "SIGEVO",
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publisher = "Association for Computing Machinery",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution, ANN, deep learning, adversarial examples,
computer security, security assessment",
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isbn13 = "978-1-4503-8351-6",
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DOI = "doi:10.1145/3449726.3463222",
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size = "9 pages",
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abstract = "an evolutionary approach for assessing the robustness
of a system trained in the detection of software
vulnerabilities. By applying a Grammatical Evolution
genetic algorithm, and using the output of the system
being assessed as the fitness function, we show how we
can easily change the classification decision (i.e.
vulnerable or not vulnerable) for a given instance by
simply injecting evolved features that in no wise
affect the functionality of the program. Additionally,
by means of the same technique, that is by simply
modifying the program instances, we show how we can
significantly decrease the accuracy measure of the
whole system on the dataset used for the test
phase.
Finally we remark that these methods can be easily
customized for applications in different domains and
also how the underlying ideas can be exploited for
different purposes, such as the exploration of the
behaviour of a generic neural system.",
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notes = "Universita degli Studi di Milano-Bicocca
GECCO-2021 A Recombination of the 30th International
Conference on Genetic Algorithms (ICGA) and the 26th
Annual Genetic Programming Conference (GP)",
- }
Genetic Programming entries for
Claudio Ferretti
Martina Saletta
Citations