Machine Learning's Privacy Problem

Privacy risks and implications of machine learning models trained on sensitive data.

Summary

This presentation covers wireless security, network analysis, and radio frequency hacking techniques.

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RSAC Cybersecurity·48 min

Analysts investigate attack surfaces and defenses concerning Attacking Machine Learning: On the Security and Privacy of Neural Networks.

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Dr. Ethan Rudd

Improving malware detection systems through advanced loss function design in machine learning models.

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Sven Cattell

Deep learning approaches to security threats and vulnerabilities.

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