10 citations · 22 across the 19 of their papers we have counts for
5 papers · 1 filter
From Cycle Space to Cycle Manifold: Limits and Achievability of Blind False Data Injection Attacks
Xin Li, Chenhan Xiao, Jonathan Cohen +3
A false data injection attack (FDIA) can change the estimated grid state while evading a residual-based bad data detector (BDD). Existing blind attacks learn a low-rank measurement…
Physically Consistent Null Space Alignment for Detection of Low-Magnitude False Data Injection Attacks
Xin Li, Chenhan Xiao, Jonathan Cohen +3
False data injection attacks (FDIAs) introducing small measurement perturbations can still cause large deviations in power system state estimation when the injected signals align w…
Cycle-Space Informed Detection of Autoencoded Blind False Data Injection Attacks on Power Systems
Xin Li, Chenhan Xiao, Jonathan Cohen +3
The rapid growth of AI-driven data centers and large-scale energy storage systems is increasing the reliance of power system operation on real-time measurement data and automated d…
Projective Psychological Assessment of Large Multimodal Models Using Thematic Apperception Tests
Anton Dzega, Aviad Elyashar, Ortal Slobodin +2
Thematic Apperception Test (TAT) is a psychometrically grounded, multidimensional assessment framework that systematically differentiates between cognitive-representational and aff…
An Evidence-Driven Analysis of Threat Information Sharing Challenges for Industrial Control Systems and Future Directions
Adam Hahn, Rubin Krief, Daniel Rebori-Carretero +3
The increasing cyber threats to critical infrastructure highlight the importance of private companies and government agencies in detecting and sharing information about threat acti…