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Found 5 papers, 2 papers with code
Introducing v0.5 of the AI Safety Benchmark from MLCommons
We created a new taxonomy of 13 hazard categories, of which 7 have tests in the v0. 5 benchmark.
A Machine Learning Pressure Emulator for Hydrogen Embrittlement
A recent alternative for hydrogen transportation as a mixture with natural gas is blending it into natural gas pipelines.
Novelty Detection in Network Traffic: Using Survival Analysis for Feature Identification
Intrusion Detection Systems are an important component of many organizations' cyber defense and resiliency strategies.
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models
Results demonstrate that state dynamics corresponding to the missing ODEs can be approximated well using a neural network trained using a recursive Bayesian filtering approach in a fashion coupled with the known state dynamic differential equations.
Adversarial Machine Learning in Network Intrusion Detection Systems
Adversarial examples are inputs to a machine learning system intentionally crafted by an attacker to fool the model into producing an incorrect output.
