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Memory Forensics on ML Processes

Utilizing the Linux memory forensics toolchain and developing Volatility3 plugins for memory analysis of machine learning models.

Build a Convolutional Neural Network

Learn the fundamentals of PyTorch for image recognition.

Inspect the Running Python ML Process

Use debuggers to get object and process information.

Gather a Memory Image of the System

Acquire a sample with Linux Memory Extractor.

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