12th ACM WORKSHOP ON ARTIFICIAL INTELLIGENCE AND SECURITY

November 15, 2019 — London, UK

Call for Papers

Recent years have seen a dramatic increase in applications of artificial intelligence, machine learning, and data mining to security and privacy problems. The use of AI and ML in security-sensitive domains, in which adversaries may attempt to mislead or evade intelligent machines, creates new frontiers for security research. The recent widespread adoption of deep learning techniques, whose security properties are difficult to reason about directly, has only added to the importance of this research. The AISec workshop, now in its 12th year, is the leading venue for presenting and discussing new developments in the intersection of security and privacy with AI and machine learning.

Topics of Interest :

• Adversarial attacks on machine learning
  
• Defenses against adversarial attacks
  
• Security of deep learning systems
  
• Theoretical foundations of machine learning security
  
• Formal verification of machine learning models
  
• Differential privacy and privacy-preserving learning
  
• Explainability and Fairness
  
• Spam and phishing detection
  
• Botnet and malware detection
  
• Intrusion detection and response
  
• Computer forensics
  
• Data anonymization/de-anonymization
  
• Security in social networks
  
• Vulnerability discovery

Paper Submission

Paper submissions must be at most 10 pages in double-column ACM format, excluding the bibliography and well-marked appendices, and at most 12 pages overall. Papers should be in LaTeX in the new ACM format. This format is required for the camera-ready version. Please follow the main CCS formatting instructions (except with page limits as described above). In particular, we recommend using the sigconf template, which can be downloaded from https://www.acm.org/publications/proceedings-template.

Submission link: https://aisec2019.hotcrp.com.

Important Dates