18 citations · 45 across the 5 of their papers we have counts for
5 papers
Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and Legal Implications
Micah Musser, Andrew Lohn, James X. Dempsey +14
In July 2022, the Center for Security and Emerging Technology (CSET) at Georgetown University and the Program on Geopolitics, Technology, and Governance at the Stanford Cyber Polic…
An Analysis of How Many Undiscovered Vulnerabilities Remain in Information Systems
Jonathan M Spring
Vulnerability management strategy, from both organizational and public policy perspectives, hinges on an understanding of the supply of undiscovered vulnerabilities. If the number…
On managing vulnerabilities in AI/ML systems
Jonathan M. Spring, April Galyardt, Allen D. Householder +1
This paper explores how the current paradigm of vulnerability management might adapt to include machine learning systems through a thought experiment: what if flaws in machine lear…
Learning the Associations of MITRE ATT&CK Adversarial Techniques
Rawan Al-Shaer, Jonathan M. Spring, Eliana Christou
The MITRE ATT&CK Framework provides a rich and actionable repository of adversarial tactics, techniques, and procedures (TTP). However, this information would be highly useful for…
Review of human decision-making during computer security incident analysis
Jonathan M. Spring, Phyllis Illari
We review practical advice on decision-making during computer security incident response. Scope includes standards from the IETF, ISO, FIRST, and the US intelligence community. To…