12 papers
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…
Compact and Infinite-Order Error Analysis for Null-Space SVD Estimation
Xin Li, Jonathan Cohen, Rami Puzis
We study null-space estimation from a noisy matrix. For a simple left null space, we first derive an exact compact expression for the error of the smallest left singular vector. We…
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…
LED there be DoS: Exploiting variable bitrate IP cameras for network DoS
Emmanuel Goldberg, Oleg Brodt, Aviad Elyashar +1
Variable-bitrate video streaming is ubiquitous in video surveillance and CCTV, enabling high-quality video streaming while conserving network bandwidth. However, as the name sugges…
Labeling NIDS Rules with MITRE ATT&CK Techniques: Machine Learning vs. Large Language Models
Nir Daniel, Florian Klaus Kaiser, Shay Giladi +6
Analysts in Security Operations Centers (SOCs) are often occupied with time-consuming investigations of alerts from Network Intrusion Detection Systems (NIDS). Many NIDS rules lack…
NetAurHPD: Network Auralization Hyperlink Prediction Model to Identify Metabolic Pathways from Metabolomics Data
Tamir Bar-Tov, Rami Puzis, David Toubiana
Metabolite biosynthesis is regulated via metabolic pathways, which can be activated and deactivated within organisms. Understanding and identifying an organism's metabolic pathway…
Assessment and manipulation of latent constructs in pre-trained language models using psychometric scales
Maor Reuben, Ortal Slobodin, Aviad Elyshar +4
Human-like personality traits have recently been discovered in large language models, raising the hypothesis that their (known and as yet undiscovered) biases conform with human la…