Deep in the Dark – Deep Learning-based Malware Traffic Detection
Details
Last month, our machine learning engineer Gonzalo was invited to present his latest research at the IEEE Symposium on Security and Privacy, the premier forum for computer security in San Francisco.
His research on deep learning for network security generated great interest and we definitely didn't want to keep it from you. So, here we go! 😃
In this talk, Gonzalo will present:
👀 The challenges of applying traditional machine learning models for malware detection.
🤖 How state-of-the art machine learning is used for analyzing network traffic.
💪 The power of deep learning models for the end-to-end application of malware traffic detection.
💥 Tips and tricks for building datasets and deep learning architectures for this specific problem.
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This meetup is for electrical engineers, software engineers and machine learning enthusiasts interested in the advancements of deep learning for network security.
The presentation will be held in Spanish and last for about 40 minutes. After this, you'll be invited to ask individual questions while enjoying delicious snacks.
Looking forward to diving deeper into network security together with you in this session! 🤗
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