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Jailbreaking the matrix: How researchers are bypassing AI guardrails to make them safer
A paper written by University of Florida Computer & Information Science & Engineering, or CISE, Professor Sumit Kumar Jha, Ph ...
From threat modeling to encrypted collaboration apps, we’ve collected experts’ tips and tools for safely and effectively ...
Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...
Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers to ...
Objective To determine whether liquefied petroleum gas (LPG) can reduce perinatal mortality in a setting with high reliance on biomass fuels for cooking.Design Community-based two-arm parallel cluster ...
Abstract: Nonnegative low-rank matrix approximation is an important technique in data analysis for extracting meaningful patterns from high-dimensional nonnegative data. This nonnegative low-rank ...
Abstract: In this study, we present and experimentally verify a method based on the adaptive matrix block weighting (AMBW) algorithm to achieve large-strain measurement in long-distance, ...
Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. David Kindness is a Certified Public Accountant (CPA) and an expert in the fields of ...
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