Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: MTFuzz: Fuzzing with a Multi-Task Neural Network   Fuzzing is a widely used technique for detecting software bugs and
vulnerabilities. Most popular fuzzers generate new inputs using an evolutionary
search to maximize code coverage. Essentially, these fuzzers start with a set
of seed inputs, mutate them to generate new inputs, and identify the promising
inputs using an evolutionary fitness function for further mutation. Despite
their success, evolutionary fuzzers tend to get stuck in long sequences of
unproductive mutations. In recent years, machine learning (ML) based mutation
strategies have reported promising results. However, the existing ML-based
fuzzers are limited by the lack of quality and diversity of the training data.
As the input space of the target programs is high dimensional and sparse, it is
prohibitively expensive to collect many diverse samples demonstrating
successful and unsuccessful mutations to train the model. In this paper, we
address these issues by using a Multi-Task Neural Network that can learn a
compact embedding of the input space based on diverse training samples for
multiple related tasks (i.e., predicting for different types of coverage). The
compact embedding can guide the mutation process by focusing most of the
mutations on the parts of the embedding where the gradient is high. \tool
uncovers $11$ previously unseen bugs and achieves an average of $2\times$ more
edge coverage compared with 5 state-of-the-art fuzzer on 10 real-world
programs.

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The categories of this paper are: patt-sol
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The categories of this paper are: chao-dyn
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The categories of this paper are: bayes-an
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The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
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The categories of this paper are: stat
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The categories of this paper are: adap-org
6
The categories of this paper are: astro-ph
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The categories of this paper are: funct-an
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The categories of this paper are: supr-con
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The categories of this paper are: nucl-th
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-ex
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The categories of this paper are: alg-geom
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The categories of this paper are: eess
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The categories of this paper are: quant-ph