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Conference on Applied Machine Learning for Information Security

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1776 Crystal City

2231 Crystal Drive

#1000

Arlington, VA 22202

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Refund Policy

Refunds up to 7 days before event

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Conference on Applied Machine Learning for Information Security

The deluge of information security data invites data-driven strategies for information security situational awareness, threat detection and remediation. Statistics and machine learning approaches applied to assess and automate elements of information security have become increasingly popular in academia, government, national labs, and in industry, but with few venues for collegial information exchange in detail appropriate for data science practitioners. The Conference on Applied Machine Learning in Information Security provides a venue for discussing applied research from academics working in information security, government research labs, national laboratories and FFRDCs, and information security data scientists in the industry.


Topics for discussion may include but are not limited to:

  • Insider threat detection

  • Network and endpoint forensics

  • Governance, compliance and exfiltration detection

  • Detection of script-based and malware-less attacks

  • Automated malware detection and classification

  • Vulnerability assessment


ML techniques and analytic or predictive themes might include:

  • Statistical analysis on large and small datasets

  • Unique considerations of base-rate fallacy for data science in information security

  • Data sources and data exploration and subsequent findings

  • Unique approaches to dataset visualization

  • Unsupervised methods and anomaly detection

  • Adversarial machine learning

  • Original or cross-domain deep learning architectures applied to information security data

  • Natural language processing

  • Reinforcement learning for automating security tasks

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Date and Time

Location

1776 Crystal City

2231 Crystal Drive

#1000

Arlington, VA 22202

View Map

Refund Policy

Refunds up to 7 days before event

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