Conference on Applied Machine Learning in Information Security (CAMLIS)

The Conference on Applied Machine Learning in Information Security (CAMLIS) is a venue for discussing applied research on machine learning, deep learning and data science in information security.

We invite title and abstract submissions on the direct application of statistics, machine learning, deep learning and data science to information security.

We encourage participation from students and academics working in information security, government research labs, national laboratories and FFRDCs, and information security data scientists in industry.

Contact Information

Washington, DC USA

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