Survey of Small Language Models from Penn State, ...

• UpdatedJan 16, 2025

Deep Fact Validation

• UpdatedSep 1, 2022
• Java

Open-source test generation SDK for LLM applications. Access curated test sets. Build context-specific test sets and collaborate with subject matter experts.

• UpdatedMar 19, 2025
• Python

Provides web credibility models (Likert scale) to assign a trustworthiness score to a given website.

• UpdatedSep 19, 2019
• Python

In this paper, we introduce SAShA, a new attack strategy that leverages semantic features extracted from a knowledge graph in order to strengthen the efficacy of the attack to standard CF models. We performed an extensive experimental evaluation in order to investigate whether SAShA is more effective than baseline attacks against CF models by ta…

• UpdatedFeb 10, 2022
• Python

In the dynamic landscape of medical artificial intelligence, this study explores the vulnerabilities of the Pathology Language-Image Pretraining (PLIP) model, a Vision Language Foundation model, under targeted attacks like PGD adversarial attack.

• UpdatedMay 18, 2024
• Jupyter Notebook

Codes and Datasets for our WSDM 2022 Paper: "MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs"

• UpdatedFeb 26, 2022
• Python

Trustworthiness Monitoring & Assessment Framework

• UpdatedJan 8, 2023
• JavaScript

A list of tools and methods for building trustworthy software following TrustOps principles.

• UpdatedOct 18, 2024

a matrix to provide the clarified definition and relationship information of trustworthiness characteristics between in the AI/ML standards

• UpdatedOct 31, 2022

Visualization and embedding of large datasets using various Dimensionality Reduction (DR) techniques such as t-SNE, UMAP, PaCMAP & IVHD. Implementation of custom metrics to assess DR quality with complete explaination and workflow.

• UpdatedJul 6, 2022
• Jupyter Notebook

Independent continuation of a project from AstonHack 2017

• UpdatedOct 21, 2019
• JavaScript

Website for health data science at KDD 2021

• UpdatedAug 30, 2021
• HTML

Secure and trustworthy mobile AI.

• UpdatedSep 12, 2024
• HTML

An Assurance Process for Big Data Trustworthiness - Marco Anisetti, Claudio A. Ardagna, Filippo Berto

• UpdatedApr 26, 2022
• Python

Proof of Freshness: collate proof of an authorship date.

• UpdatedJul 27, 2020
• Go

In this work, we provide 24 combinations of attack/defense strategies, and visual-based recommenders to 1) access performance alteration on recommendation and 2) empirically verify the effect on final users through offline visual metrics.

• UpdatedFeb 11, 2021
• Python

Proposal of a novel adversarial attack approach, called Target Adversarial Attack against Multimedia Recommender Systems (TAaMR), to investigate the modification of MR behavior when the images of a category of low recommended products (e.g., socks) are perturbed to misclassify the deep neural classifier towards the class of more recommended prod…

• UpdatedFeb 11, 2021
• Python

Component K - Trustworthiness Monitoring & Assessment Framework

• UpdatedDec 16, 2022
• Java

This repository is an implementation of the paper "Trustworthy Medical Image Segmentation with improved performance for in-distribution samples" published in Neural Networks.

• UpdatedSep 21, 2023
• Jupyter Notebook