About

The Conference on Applied Machine Learning in Information Security (CAMLIS) is a premier venue for researchers and practitioners from academia, industry, government, and FFRDCs to discuss the intersection of machine learning and cybersecurity. Our goal is to bridge the gap between theoretical ML research and operational security practice. We seek original work that applies AI, machine learning, deep learning, statistics, and data science to solve real-world information security challenges.

We invite authors to submit full length papers or extended abstracts for consideration for talks or poster session presentations. Full length papers will be eligible for our proceedings, hosted through the Proceedings of Machine Learning Research (PMLR).

Slack

We will be using Slack for both communication and session Q&As. Registrants will receive an invite to the slack channel #camlis2026 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 2026? Contact sponsor@camlis.org.

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