In this paper, we present LAFuzz, an automated fuzzer that generates high-quality seed inputs, which utilizes a variety of deep neural network model with ...
LAFuzz is presented, an automated fuzzer that generates high-quality seed inputs, which utilizes a variety of deep neural network model with different setup ...
In this paper, we present LAFuzz, an automated fuzzer that generates high-quality seed inputs, which utilizes a variety of deep neural network model with ...
In this paper, we present LAFuzz, an automated fuzzer that generates high-quality seed inputs, which utilizes a variety of deep neural network model with ...
LAFuzz: Neural Network for Efficient Fuzzing | Request PDF
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In this paper, we present a solution, NeuFuzz, using the deep neural network to guide intelligent seed selection during graybox fuzzing.
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Fuzzing is a well-known technique for efficiently finding software vulnerabilities. Unfortunately, due to syntax check, even the state-of-The-Art fuzzers ...
This repository is to help me organize recent academic papers related to fuzzing, binary analysis, IoT security, and general exploitation.
A novel program smoothing technique using surrogate neural network models that can incrementally learn smooth approximations of a complex, ...
In this paper, we propose a new technique using a neural network for smoothing the target programs to make them suitable for gradient-guided optimization and ...
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