3 citations · 7 across the 7 of their papers we have counts for
Showing cs.CRShow all
3 papers · 1 filter
cs.CR2026
Toward Risk Thresholds for AI-Enabled Cyber Threats: Enhancing Decision-Making Under Uncertainty with Bayesian Networks
Krystal Jackson, Deepika Raman, Jessica Newman +3
Artificial intelligence (AI) is increasingly being used to augment and automate cyber operations, altering the scale, speed, and accessibility of malicious activity. These shifts r…
cs.CR2024★ 3 cited
Benchmark Early and Red Team Often: A Framework for Assessing and Managing Dual-Use Hazards of AI Foundation Models
Anthony M. Barrett, Krystal Jackson, Evan R. Murphy +2
A concern about cutting-edge or "frontier" AI foundation models is that an adversary may use the models for preparing chemical, biological, radiological, nuclear, (CBRN), cyber, or…
cs.CR2023★ 1 cited
A Systematic Review of Machine Learning Enabled Phishing
Krystal A. Jackson
Developments in artificial intelligence (AI) are likely to affect social engineering and change cyber defense operations. The broad and sweeping nature of AI impact means that many…