In today’s rapidly evolving threat landscape, Detection Engineering has emerged as a critical discipline in cybersecurity, enabling organizations to identify and respond to malicious activities.

Detection Quantitation Limit Profile. In WQX, data submitters can supply an unlimited number of detection limits. However, the WQP will only return six detection limits in the Detection Limit Profile …

Rather than simply fine-tuning a heavy-weight vision-language model (VLM) for new domains, we introduce RF-DETR, a light-weight specialist detection transformer that discovers accuracy-latency …

r detection as a function of the policy designer’s objective function. By constructing their policy caps acco dingly, designers can account for different stages of possible AI usage. For example, setting a …

In most of this class, we will study the most commonly used optimality criteria to quantify “best”, how to find these best estimates or detection decisions, and limits on performance (e.g. CR-LB).

In this paper, we propose a cost-effective and highly adaptable distillation framework that harnesses the rapidly evolving capabilities of Vision Foundation Models (VFMs) to enhance lightweight object …

Evaluating Object Detectors: Mean Average Precision (mAP) For each category, compute Average Precision (AP) = area under Precision vs Recall Curve For each detection (highest score to lowest …