About

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.  

We invite two types of submissions: 1) a full-length paper or 2) an extended abstract submission. Both submission types will be considered for a talk or a poster depending on the author’s selection. This year, full length papers will undergo an additional round of selection for conference proceedings (i.e., acceptance for presentation and selection for proceedings will be two distinct processes).  Submissions should 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 in length with up to 5 minutes of discussion period and questions 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. 

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

For more information and how to submit please view our CFP tab.

Slack

We will be using Slack this year for both communication and session Q&As. Registrants will receive an invite to the slack channel #camlis2024 the week of the event.

You can also join the Slack channel by clicking here: Please join our slack channel by clicking here.

Interested in sponsoring CAMLIS 2024? Contact sponsor@camlis.org.

For general questions and inquiries please reach out to info@camlis.org.