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Found 5 papers, 1 papers with code
Safer Prompts: Reducing IP Risk in Visual Generative AI
Visual Generative AI models have demonstrated remarkable capability in generating high-quality images from simple inputs like text prompts.
Quantifying Correlations of Machine Learning Models
Machine Learning models are being extensively used in safety critical applications where errors from these models could cause harm to the user.
An In-Depth Examination of Risk Assessment in Multi-Class Classification Algorithms
Advanced classification algorithms are being increasingly used in safety-critical applications like health-care, engineering, etc.
Distribution-free risk assessment of regression-based machine learning algorithms
We solve the risk-assessment problem using the conformal prediction approach, which provides prediction intervals that are guaranteed to contain the true label with a given probability.
Stable Boundary Conditions and Discretization for PN Equations
A solution to the linear Boltzmann equation satisfies an energy bound, which reflects a natural fact: The energy of particles in a finite volume is bounded in time by the energy of particles initially occupying the volume augmented by the energy transported into the volume by particles entering the volume over time.
Numerical Analysis Numerical Analysis
