About

The Conference on Applied Machine Learning in Information Security (CAMLIS) brings together researchers and practitioners to discuss the application of machine learning in information security. We invite two types of submissions: full-length papers or extended abstracts, both of which can be selected for a talk or poster. Full-length papers will undergo a subsequent review process for inclusion in the conference proceedings. Both submission types must focus on experiments in applying machine learning, analytic, algorithmic or artificial intelligence approaches to information security, including enterprise security, application and AI security, offensive security, etc.

Accepted talks will be 20 minutes long with a 5-minute Q&A, presented by a single author, and recorded for public access. The poster session will be held live during the event. We encourage participation from academics, government researchers, and industry professionals.

CAMLIS 2025 will also feature CAMLIS Red—a one-day workshop focused on real-world applications of AI in security. CAMLIS Red prioritizes practical impact over theoretical research, and operational field notes over research-motivated experiments. We invite 15-minute lightning talks or 20-minute full talks on topics like AI-powered threat detection, AI defenses, or integration of AI tools in red/blue team operations. Submissions must focus on concrete, field-tested implementations with operational impact; no proceedings will be published.

Slack

We will be using Slack this year for both communication and session Q&As. Registrants will receive an invite to the slack channel #camlis2025 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 2025? Contact sponsor@camlis.org.

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