Topics of the workshop include, but are not limited to:

• Reliable machine learning
• Adversarial machine learning (attack and defense)
• Privacy preserving machine learning
• Learning over encrypted data
• Homomorphic encryption techniques for machine learning
• Secure multi-party computation techniques for machine learning
• Explainable and transparent machine learning
• Neural architecture search for secure learning
• Security intelligence in malware, network intrusion, web security, and authentication