5 citations · 12 across the 11 of their papers we have counts for
12 papers
Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts
Alexander K. Saeri, Jess Graham, Michael Noetel +185
Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritizat…
Denoising Diffusion as a New Framework for Underwater Images
Nilesh Jain, Elie Alhajjar
Underwater images play a crucial role in ocean research and marine environmental monitoring since they provide quality information about the ecosystem. However, the complex and rem…
AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons
Shaona Ghosh, Heather Frase, Adina Williams +99
The rapid advancement and deployment of AI systems have created an urgent need for standard safety-evaluation frameworks. This paper introduces AILuminate v1.0, the first comprehen…
Introducing v0.5 of the AI Safety Benchmark from MLCommons
Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed +97
This paper introduces v0.5 of the AI Safety Benchmark, which has been created by the MLCommons AI Safety Working Group. The AI Safety Benchmark has been designed to assess the safe…
On locally finite ordered rooted trees and their rooted subtrees
Geir Agnarsson, Elie Alhajjar, Aleyah Dawkins
In this article we compare the known dynamical polynomial time algorithm for the game-over attack strategy, to that of the brute force approach; of checking all the ordered rooted…
Efficient quantum loading of probability distributions through Feynman propagators
Elie Alhajjar, Jesse Geneson, Anupam Prakash +1
We present quantum algorithms for the loading of probability distributions using Hamiltonian simulation for one dimensional Hamiltonians of the form .…
A Machine Learning Pressure Emulator for Hydrogen Embrittlement
Minh Triet Chau, João Lucas de Sousa Almeida, Elie Alhajjar +1
A recent alternative for hydrogen transportation as a mixture with natural gas is blending it into natural gas pipelines. However, hydrogen embrittlement of material is a major con…
Novelty Detection in Network Traffic: Using Survival Analysis for Feature Identification
Taylor Bradley, Elie Alhajjar, Nathaniel Bastian
Intrusion Detection Systems are an important component of many organizations' cyber defense and resiliency strategies. However, one downside of these systems is their reliance on k…
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models
Ahmet Demirkaya, Tales Imbiriba, Kyle Lockwood +5
Modeling biological dynamical systems is challenging due to the interdependence of different system components, some of which are not fully understood. To fill existing gaps in our…
Maximally entangled correlation sets
Elie Alhajjar, Travis Russell
We study the set of quantum correlations generated by actions on maximally entangled states. We show that such correlations are dense in their own convex hull. As a consequence, we…
Adversarial Machine Learning in Network Intrusion Detection Systems
Elie Alhajjar, Paul Maxwell, Nathaniel D. Bastian
Adversarial examples are inputs to a machine learning system intentionally crafted by an attacker to fool the model into producing an incorrect output. These examples have achieved…
Ehrhart positivity and Demazure characters
Per Alexandersson, Elie Alhajjar
Demazure characters, also known as key polynomials, generalize the classical Schur polynomials. In particular, when all variables are set equal to , these polynomials count the…