trustworthy-machine-learning topic

A list of research papers of explainable machine learning.

BirkhoffG

Framework for Adversarial Malware Evaluation.

zRapha

MERLIN is a global, model-agnostic, contrastive explainer for any tabular or text classifier. It provides contrastive explanations of how the behaviour of two machine learning models differs.

Crisp-Unimib

Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

ENSTA-U2IS-AI

A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. C...

dlmacedo

[ICML 2024] TrustLLM: Trustworthiness in Large Language Models

HowieHwong

Privacy-Preserving Machine Learning (PPML) Tutorial

leriomaggio

[Findings of EMNLP 2022] Holistic Sentence Embeddings for Better Out-of-Distribution Detection

lancopku

Trustworthy AI method based on Dempster-Shafer theory - application to fetal brain 3D T2w MRI segmentation

LucasFidon