Traditional data leak prevention is failing. A new paper has a solution-oriented approach inspired by evolution.
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Traditional data leak prevention is failing. A new paper has a solution-oriented approach inspired by evolution.
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The paper introduces a genetic-algorithm-driven method for detecting data leaks. To prove its effectiveness, the researchers Anatoliy Sachenko, Petro V.,  Oleg Savenko, Viktor Ostroverkhov, Bogdan Maslyyak from Casimir Pulaski Radom University and others needed a real-world, complex PII dataset. We're proud that the AI4Privacy PII 300k dataset was used as a key benchmark for their experiments. 
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The paper introduces a genetic-algorithm-driven method for detecting data leaks. To prove its effectiveness, the researchers Anatoliy Sachenko, Petro V.,  Oleg Savenko, Viktor Ostroverkhov, Bogdan Maslyyak from Casimir Pulaski Radom University and others needed a real-world, complex PII dataset. We're proud that the AI4Privacy PII 300k dataset was used as a key benchmark for their experiments. 
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This is the power of open-source collaboration. We provide complex, real-world data challenges, and brilliant researchers develop and share better solutions to solve them. It's a win for every organization when this research helps pave the way for more adaptive and intelligent Data Loss Prevention systems.
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This is the power of open-source collaboration. We provide complex, real-world data challenges, and brilliant researchers develop and share better solutions to solve them. It's a win for every organization when this research helps pave the way for more adaptive and intelligent Data Loss Prevention systems.
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🔗 Read the full paper to see the data and learn how genetic algorithms are making a difference in cybersecurity: 
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🔗 Read the full paper to see the data and learn how genetic algorithms are making a difference in cybersecurity: 
https://ceur-ws.org/Vol-4005/paper19.pdf
https://ceur-ws.org/Vol-4005/paper19.pdf
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#OpenSource 
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#OpenSource 
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#DataPrivacy 
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#DataPrivacy 
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#LLM 
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#LLM 
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#Anonymization 
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#Anonymization 
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#AIsecurity 
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#AIsecurity 
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#HuggingFace 
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#HuggingFace 
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#Ai4Privacy 
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#Ai4Privacy 
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#Worldslargestopensourceprivacymaskingdataset
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#Worldslargestopensourceprivacymaskingdataset
Traditional data leak prevention is failing. A new paper has a solution-oriented approach inspired by evolution.

The paper introduces a genetic-algorithm-driven method for detecting data leaks. To prove its effectiveness, the researchers Anatoliy Sachenko, Petro V.,  Oleg Savenko, Viktor Ostroverkhov, Bogdan Maslyyak from Casimir Pulaski Radom University and others needed a real-world, complex PII dataset. We're proud that the AI4Privacy PII 300k dataset was used as a key benchmark for their experiments. 

This is the power of open-source collaboration. We provide complex, real-world data challenges, and brilliant researchers develop and share better solutions to solve them. It's a win for every organization when this research helps pave the way for more adaptive and intelligent Data Loss Prevention systems.

🔗 Read the full paper to see the data and learn how genetic algorithms are making a difference in cybersecurity: https://ceur-ws.org/Vol-4005/paper19.pdf

#OpenSource 
#DataPrivacy 
#LLM 
#Anonymization 
#AIsecurity 
#HuggingFace 
#Ai4Privacy 
#Worldslargestopensourceprivacymaskingdataset
👀
John6666 MikeDoes