CAMLIS 2019: Conference on Applied Machine Learning for Information Security Washington, DC, United States, October 24-25, 2019 |
Conference website | https://www.camlis.org |
Submission link | https://easychair.org/conferences/?conf=camlis2019 |
Conference program | https://easychair.org/smart-program/CAMLIS2019/ |
Abstract registration deadline | July 30, 2019 |
Submission deadline | July 30, 2019 |
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.
Important Dates
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CFP is now open!
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July 29: Abstract submission deadline
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August 19: Speakers notified
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October 24-25: Conferences Dates in Washington, D.C.
Submission Guidelines
We invite title and abstract submissions on the direct application of statistics, machine learning, deep learning and data science to infosec relevant areas including:
- Insider threat detection
- Behavioral analysis
- Network and endpoint forensics
- Governance, compliance and exfiltration detection
- Detection of script-based and malware-less attacks
- Automated malware detection and classification
- Vulnerability assessment
- Machine learning models as attack surface
We encourage submissions that include analytic or predictive themes:
- Graph-based algorithms and modeling
- Adversarial machine learning in the context of infosec
- Original or cross-domain deep learning architectures applied to information security data
- Natural language processing, image analysis, signal analysis
- Learning-based approaches for automating security tasks/workflows
- Unsupervised and semi-supervised approaches
- Explainable ML for Infosec
We invite both original submissions and presentations submitted very recently at other venues (since Jan 2019). We require only title and abstract (max 500 words) for submission, but speakers are also highly encouraged to publicly document their work after the conference in some form other than the presentation materials. Examples include a blog post, arXiv paper, github code, peerlyst, etc.
The conference is single-track and will include presentations, posters and tutorials. Please specify all of the format(s) you are applying for when submitting an abstract. Presentations will be 20 minutes with a lengthy (up to 10 minutes) opportunity for discussion period after each talk. This year, we also encourage proposals for tutorials on either machine learning techniques or infosec problems. Tutorials, which are targeted for 60 minutes, should be on mature areas of applied research or practice. Preference will be given to tutorial topics having broad applicability to and/or garnering wide interest by the CAMLIS community. All talks and tutorials will be recorded and made publicly available after the conference.
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. A small number of student travel grants will be awarded for students requiring support, with preference given to student presenters. A separate announcement for student travel grants will be released in mid-August.
Venue
The conference will be held in Washington, D.C. There is no official conference hotel.