These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
Amount of Leaked Information
This metric counts the information items S disclosed by a system, e.g., the number of compromised users. However, this metric does not indicate the severity of a leak because it does not account for the
sensitivity of the leaked information.
privALI ≡ |S |
Related use cases :
Privacy-preserving genomic computation through program specialization
Uploaded on Nov 3, 2022In this paper, we present a new approach to performing important classes of genomic computations (e.g., search for homologous genes) that makes a significant step towards priva...
Brand Visibility in Packaging: A Deep Learning Approach for Logo Detection, Saliency-Map Prediction, and Logo Placement Analysis
Uploaded on Apr 2, 2024Most recent scribble-supervised segmentation methods commonly adopt a CNN
framework with an encoder-decoder architecture. Despite its multiple benefits,
this framework generally ca...
PUAD: Frustratingly Simple Method for Robust Anomaly Detection
Uploaded on Apr 2, 2024The BigCode project, an open-scientific collaboration focused on the
responsible development of Large Language Models for Code (Code LLMs),
introduces StarCoder2. In partnership wi...
Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
Uploaded on Apr 22, 2024Vision Transformer (ViT) self-attention mechanism is characterized by feature
collapse in deeper layers, resulting in the vanishing of low-level visual
features. However, such feat...
HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images
Uploaded on Apr 22, 2024Multimodal Large Language Models (MLLMs) have experienced significant
advancements recently. Nevertheless, challenges persist in the accurate
recognition and comprehension of intri...
ProMISe: Promptable Medical Image Segmentation using SAM
Uploaded on Apr 22, 2024This paper introduces fourteen novel datasets for the evaluation of Large
Language Models' safety in the context of enterprise tasks. A method was
devised to evaluate a model's saf...
Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
Uploaded on May 21, 2024Vision Transformer (ViT) self-attention mechanism is characterized by feature
collapse in deeper layers, resulting in the vanishing of low-level visual
features. However, such feat...
HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images
Uploaded on May 21, 2024Multimodal Large Language Models (MLLMs) have experienced significant
advancements recently. Nevertheless, challenges persist in the accurate
recognition and comprehension of intri...
ProMISe: Promptable Medical Image Segmentation using SAM
Uploaded on May 21, 2024This paper introduces fourteen novel datasets for the evaluation of Large
Language Models' safety in the context of enterprise tasks. A method was
devised to evaluate a model's saf...
Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
Uploaded on Jun 5, 2024Vision Transformer (ViT) self-attention mechanism is characterized by feature
collapse in deeper layers, resulting in the vanishing of low-level visual
features. However, such feat...
HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images
Uploaded on Jun 5, 2024Multimodal Large Language Models (MLLMs) have experienced significant
advancements recently. Nevertheless, challenges persist in the accurate
recognition and comprehension of intri...
ProMISe: Promptable Medical Image Segmentation using SAM
Uploaded on Jun 5, 2024This paper introduces fourteen novel datasets for the evaluation of Large
Language Models' safety in the context of enterprise tasks. A method was
devised to evaluate a model's saf...
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