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- W2888408058 abstract "Differential program analysis means to identify the behavioral divergences in one or multiple programs, and it can be classified into two categories: identify the behavioral divergences (1) between two program versions for the same input (aka regression analysis), and (2) for the same program with two different inputs (e.g, side-channel analysis). Most of the existent approaches for both subproblems try to solve it with single techniques, which suffer from its weaknesses like scalability issues or imprecision. This research proposes to combine two very strong techniques, namely fuzzing and symbolic execution to tackle these problems and provide scalable solutions for real-world applications. The proposed approaches will be implemented on top of state-of-the-art tools like AFL and Symbolic PathFinder to evaluate them against existent work." @default.
- W2888408058 created "2018-08-31" @default.
- W2888408058 creator A5071232627 @default.
- W2888408058 date "2018-09-03" @default.
- W2888408058 modified "2023-09-27" @default.
- W2888408058 title "Differential program analysis with fuzzing and symbolic execution" @default.
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- W2888408058 doi "https://doi.org/10.1145/3238147.3241537" @default.
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