#bcsa — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #bcsa, aggregated by home.social.
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This paper looks promising: "SIGMADIFF: Semantics-Aware Deep Graph Matching for Pseudocode Diffing".
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=9671&context=sis_research
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Today I realised that the oldest technology developed by me integrated into #Diaphora dates from 2009.
In case you are curious, it's #DeepToad, a Python library for doing fuzzy hashing. This simplistic library calculates a set of 3 different hashes using a configurable block size (in opposite to, say, ssdeep, that doesn't work for this).
https://github.com/joxeankoret/deeptoad
#FuzzyHashing
#DeepToad
#Diaphora
#BinDiffing
#ProgramDiffing
#BCSA -
Today I realised that the oldest technology developed by me integrated into #Diaphora dates from 2009.
In case you are curious, it's #DeepToad, a Python library for doing fuzzy hashing. This simplistic library calculates a set of 3 different hashes using a configurable block size (in opposite to, say, ssdeep, that doesn't work for this).
https://github.com/joxeankoret/deeptoad
#FuzzyHashing
#DeepToad
#Diaphora
#BinDiffing
#ProgramDiffing
#BCSA -
Today I realised that the oldest technology developed by me integrated into #Diaphora dates from 2009.
In case you are curious, it's #DeepToad, a Python library for doing fuzzy hashing. This simplistic library calculates a set of 3 different hashes using a configurable block size (in opposite to, say, ssdeep, that doesn't work for this).
https://github.com/joxeankoret/deeptoad
#FuzzyHashing
#DeepToad
#Diaphora
#BinDiffing
#ProgramDiffing
#BCSA -
Today I realised that the oldest technology developed by me integrated into #Diaphora dates from 2009.
In case you are curious, it's #DeepToad, a Python library for doing fuzzy hashing. This simplistic library calculates a set of 3 different hashes using a configurable block size (in opposite to, say, ssdeep, that doesn't work for this).
https://github.com/joxeankoret/deeptoad
#FuzzyHashing
#DeepToad
#Diaphora
#BinDiffing
#ProgramDiffing
#BCSA -
Today I realised that the oldest technology developed by me integrated into #Diaphora dates from 2009.
In case you are curious, it's #DeepToad, a Python library for doing fuzzy hashing. This simplistic library calculates a set of 3 different hashes using a configurable block size (in opposite to, say, ssdeep, that doesn't work for this).
https://github.com/joxeankoret/deeptoad
#FuzzyHashing
#DeepToad
#Diaphora
#BinDiffing
#ProgramDiffing
#BCSA -
One question regarding #bindiffing: Have you ever used a tool called #DeepBinDiff? I am not talking about "BinDiff" but rather about "DeepBinDiff".
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One question regarding #bindiffing: Have you ever used a tool called #DeepBinDiff? I am not talking about "BinDiff" but rather about "DeepBinDiff".
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One question regarding #bindiffing: Have you ever used a tool called #DeepBinDiff? I am not talking about "BinDiff" but rather about "DeepBinDiff".
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One question regarding #bindiffing: Have you ever used a tool called #DeepBinDiff? I am not talking about "BinDiff" but rather about "DeepBinDiff".
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One question regarding #bindiffing: Have you ever used a tool called #DeepBinDiff? I am not talking about "BinDiff" but rather about "DeepBinDiff".
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@Mizu If you want more #datasets for #binary #diffing, take a look to this paper:
https://arxiv.org/abs/2011.10749
#BinaryDiffing #BinDiffing #BinaryCodeSimilarityAnlysis #BCSA
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Dear everyone in the academia using "Machine Learning" for Binary Code Similarity Analysis (ie, bindiffing): AI is bad for anything that requires exact results. It will generate a huge amount of false positives mixed with a varying degree of similar results and is pretty hard to understand its output.
#bindiffing #BinaryDiffing #ProgramDiffing #MachineLearning #BCSA #ArtificialIntelligence
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Dear everyone in the academia using "Machine Learning" for Binary Code Similarity Analysis (ie, bindiffing): AI is bad for anything that requires exact results. It will generate a huge amount of false positives mixed with a varying degree of similar results and is pretty hard to understand its output.
#bindiffing #BinaryDiffing #ProgramDiffing #MachineLearning #BCSA #ArtificialIntelligence
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Dear everyone in the academia using "Machine Learning" for Binary Code Similarity Analysis (ie, bindiffing): AI is bad for anything that requires exact results. It will generate a huge amount of false positives mixed with a varying degree of similar results and is pretty hard to understand its output.
#bindiffing #BinaryDiffing #ProgramDiffing #MachineLearning #BCSA #ArtificialIntelligence
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Dear everyone in the academia using "Machine Learning" for Binary Code Similarity Analysis (ie, bindiffing): AI is bad for anything that requires exact results. It will generate a huge amount of false positives mixed with a varying degree of similar results and is pretty hard to understand its output.
#bindiffing #BinaryDiffing #ProgramDiffing #MachineLearning #BCSA #ArtificialIntelligence
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Dear everyone in the academia using "Machine Learning" for Binary Code Similarity Analysis (ie, bindiffing): AI is bad for anything that requires exact results. It will generate a huge amount of false positives mixed with a varying degree of similar results and is pretty hard to understand its output.
#bindiffing #BinaryDiffing #ProgramDiffing #MachineLearning #BCSA #ArtificialIntelligence