National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
C Language Source Files Similarity Detection
Rek, Petr ; Kučera, Jiří (referee) ; Matula, Peter (advisor)
This thesis deals with design, implementation and testing of the csim tool, which compares two C source files by their similarity. The primary purpose of this tool is testing of a decompiler developed by AVG Technologies s.r.o. Testing is based on comparing abstract syntax trees of the original and decompiled source files. The reader is introduced to the basics of reverse engineering, especially reverse engineering of a binary file into a high-level programming language source file. The process of compiling followed by decompiling of a file is described along with its effect on reverse engineering. The LLVM project and the Clang compiler is introduced to the reader, since its libraries are the foundation upon which the csim tool is built.
A Library for Convolutional Neural Network Design
Rek, Petr ; Mrázek, Vojtěch (referee) ; Sekanina, Lukáš (advisor)
In this diploma thesis, the reader is introduced to artificial neural networks and convolutional neural networks. Based on that, the design and implementation of a new library for convolutional neural networks is described. The library is then evaluated on widely used datasets and compared to other publicly available libraries. The added benefit of the library, that makes it unique, is its independence on data types. Each layer may contain up to three independent data types - for weights, for inference and for training. For the purpose of evaluating this feature, a data type with fixed point representation is also part of the library. The effects of this representation on trained net accuracy are put to a test.
A Library for Convolutional Neural Network Design
Rek, Petr ; Mrázek, Vojtěch (referee) ; Sekanina, Lukáš (advisor)
In this diploma thesis, the reader is introduced to artificial neural networks and convolutional neural networks. Based on that, the design and implementation of a new library for convolutional neural networks is described. The library is then evaluated on widely used datasets and compared to other publicly available libraries. The added benefit of the library, that makes it unique, is its independence on data types. Each layer may contain up to three independent data types - for weights, for inference and for training. For the purpose of evaluating this feature, a data type with fixed point representation is also part of the library. The effects of this representation on trained net accuracy are put to a test.
C Language Source Files Similarity Detection
Rek, Petr ; Kučera, Jiří (referee) ; Matula, Peter (advisor)
This thesis deals with design, implementation and testing of the csim tool, which compares two C source files by their similarity. The primary purpose of this tool is testing of a decompiler developed by AVG Technologies s.r.o. Testing is based on comparing abstract syntax trees of the original and decompiled source files. The reader is introduced to the basics of reverse engineering, especially reverse engineering of a binary file into a high-level programming language source file. The process of compiling followed by decompiling of a file is described along with its effect on reverse engineering. The LLVM project and the Clang compiler is introduced to the reader, since its libraries are the foundation upon which the csim tool is built.

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