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