The research projects of the SI and Cybersecurity Virtual Institute are at the intersection of cybersecurity and Super Intelligence (SI). These projects are in broad areas of SI for Cybersecurity, Cybersecurity for SI and Countering SI. The research for SI for Cybersecurity advances the secure application SI and Machine Learning to cybersecurity challenges. In the challenge of Cybersecurity for SI, research develops methods to protect critical SI algorithms and systems from accidental and intentional degradation and failure. The area of counter SI is concerning the special cyber defenses needed to protect against cyberattacks that are aided by the use of SI. 
 

PROJECTS 
 

• Improving Malware Classifiers with Plausible Novel Samples 
  Kevin Leach and Taylor Johnson (Vanderbilt University) 
   
• Improving  Security and Safety of Neural Networks 
  Michael Mahoney, Serge Egelman, N. Benjamin Erichson (ICSI) 
   
• Leveraging Machine Learning for Binary Software Understanding 
  Yan Shoshitaishvili and Adam Doupe (ASU)