10 papers
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…
Learning graph topology from metapopulation epidemic encoder-decoder
Xin Li, Jonathan Cohen, Shai Pilosof +1
Metapopulation epidemic models are a valuable tool for studying large-scale outbreaks. With the limited availability of epidemic tracing data, it is challenging to infer the essent…
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…
Leveraging Code Cohesion Analysis to Identify Source Code Supply Chain Attacks
Maor Reuben, Ido Mendel, Or Feldman +3
Supply chain attacks significantly threaten software security with malicious code injections within legitimate projects. Such attacks are very rare but may have a devastating impac…