The Conference on Applied Machine Learning in Information Security (CAMLIS) is a venue that gathers researchers and practitioners to discuss applied and fundamental research on machine learning in information security.
Discussion topics focus on the direct application or adaptation of statistics, machine learning, deep learning, data analytics, and/or data science to infosec-relevant areas.
Accepted talks will be presented as talks of 20 minutes, with up to 10 minutes of discussion period after each talk. Talks will also be recorded and made publicly available after the conference. The poster session will be held live and in person during the CAMLIS event.
CAMLIS encourages participation from academics working in information security, government research labs, national laboratories, FFRDCs, and information security data scientists in industry.