HowieHwong/TrustLLM

[ICML 2024] TrustLLM: Trustworthiness in Large Language Models

Language: Python - Size: 10.4 MB - Last synced at: 6 days ago - Pushed at: 2 months ago - Stars: 561 - Forks: 53

THUYimingLi/BackdoorBox

The open-sourced Python toolbox for backdoor attacks and defenses.

Language: Python - Size: 451 KB - Last synced at: 7 days ago - Pushed at: 2 months ago - Stars: 548 - Forks: 82

ENSTA-U2IS-AI/torch-uncertainty

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

Language: Python - Size: 6.87 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 392 - Forks: 32

verivital/nnv

Neural Network Verification Software Tool

Language: MATLAB - Size: 2.77 GB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 122 - Forks: 51

UCSC-REAL/negative-label-smoothing

[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"

Language: Python - Size: 337 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 73 - Forks: 9

brandeis-machine-learning/awesome-ml-fairness

Papers and online resources related to machine learning fairness

Size: 64.5 KB - Last synced at: 13 days ago - Pushed at: about 2 years ago - Stars: 72 - Forks: 6

ai4ce/FLAT

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Language: Python - Size: 48.9 MB - Last synced at: 11 days ago - Pushed at: almost 3 years ago - Stars: 68 - Forks: 10

IBM/inFairness

PyTorch package to train and audit ML models for Individual Fairness

Language: Python - Size: 6.22 MB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 66 - Forks: 8

dlmacedo/entropic-out-of-distribution-detection

A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

Language: Python - Size: 7.71 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 8

dlmacedo/distinction-maximization-loss

A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.

Language: Python - Size: 2.45 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 45 - Forks: 5

95616ARG/SyReNN

SyReNN: Symbolic Representations for Neural Networks

Language: Python - Size: 1.85 MB - Last synced at: 22 days ago - Pushed at: about 2 years ago - Stars: 40 - Forks: 5

leriomaggio/ppml-tutorial

Privacy-Preserving Machine Learning (PPML) Tutorial

Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 37 - Forks: 8

BirkhoffG/Explainable-ML-Papers

A list of research papers of explainable machine learning.

Size: 13.7 KB - Last synced at: 20 days ago - Pushed at: almost 4 years ago - Stars: 36 - Forks: 3

zRapha/FAME

Framework for Adversarial Malware Evaluation.

Language: Python - Size: 8.03 MB - Last synced at: 27 days ago - Pushed at: about 2 months ago - Stars: 34 - Forks: 10

LucasFidon/trustworthy-ai-fetal-brain-segmentation

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

Language: Python - Size: 77.5 MB - Last synced at: 21 days ago - Pushed at: almost 2 years ago - Stars: 31 - Forks: 2

mtuann/federated-learning-updated-papers

Papers related to Federated Learning in all top venues

Size: 4.24 MB - Last synced at: about 18 hours ago - Pushed at: about 19 hours ago - Stars: 30 - Forks: 3

OPTML-Group/Unlearn-Simple

"Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning" by Chongyu Fan*, Jiancheng Liu*, Licong Lin*, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu

Language: Python - Size: 4.84 MB - Last synced at: about 20 hours ago - Pushed at: about 21 hours ago - Stars: 27 - Forks: 7

Crisp-Unimib/ContrXT

a tool for comparing the predictions of any text classifiers

Language: Python - Size: 6.4 MB - Last synced at: 1 day ago - Pushed at: almost 3 years ago - Stars: 25 - Forks: 2

dlmacedo/robust-deep-learning

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. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

Language: Python - Size: 4.16 MB - Last synced at: 24 days ago - Pushed at: over 2 years ago - Stars: 17 - Forks: 3

Crisp-Unimib/MERLIN

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.

Language: Python - Size: 8.11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 5

mertyg/beyond-confidence-atypicality

Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"

Language: Python - Size: 26.4 KB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 3

um-dsp/Morphence

Morphence: An implementation of a moving target defense against adversarial example attacks demonstrated for image classification models trained on MNIST and CIFAR10.

Language: Python - Size: 104 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 3

cambridge-mlg/acp

Implementation for the paper "Approximating full conformal prediction at scale via influence functions"

Language: Jupyter Notebook - Size: 36.7 MB - Last synced at: 30 days ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 1

lancopku/Avg-Avg

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

Language: Python - Size: 46.9 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 3

95616ARG/PRDNN

Code from PLDI '21 paper "Provable Repair of Deep Neural Networks."

Language: Python - Size: 108 KB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 4

FederatedLearningAalto/FederatedLearningAalto.github.io Fork of poole/lanyon

Course site for CS-E4740 Federated Learning

Language: Jupyter Notebook - Size: 20.1 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 9 - Forks: 6

AaltoDictionaryofML/AaltoDictionaryofML.github.io

Welcome! 👋 This is the working draft of the Aalto Dictionary of Machine Learning (ADictML) — a growing collection of short, clear definitions for key terms in machine learning.

Language: TeX - Size: 71.3 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 7 - Forks: 8

raphischer/strep

Initiating a paradigm shift in reporting and helping with making ML advances more considerate of sustainability and trustworthiness.

Language: Python - Size: 82.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 0

melihcatal/advsecurenet

Machine Learning Security Library

Language: Python - Size: 43.3 MB - Last synced at: 14 days ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 6

seedatnabeel/TRIAGE

TRIAGE: Characterizing and auditing training data for improved regression (NeurIPS 2023)

Language: Jupyter Notebook - Size: 22.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 3

dragoa/MachineLearning

Welcome to my Machine Learning repository, where you can find learning materials both from my studies and from various online courses.

Language: Jupyter Notebook - Size: 82.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 1

seedatnabeel/Data-SUITE

Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)

Language: Jupyter Notebook - Size: 4.22 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 4

jaiprakash1824/VLM_Adv_Attack

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.

Language: Jupyter Notebook - Size: 23.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

carpentries-incubator/fair-explainable-ml

Fair and explainable ML workshop

Language: Jupyter Notebook - Size: 40.9 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 3 - Forks: 4

um-dsp/EG-Booster

Explanation-guided boosting of machine learning evasion attacks.

Language: Python - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

EzgiKorkmaz/AI-Safety

AAAI 2025 Tutorial on Machine Learning Safety

Size: 4.88 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

trusty-ai/efficient-consistent-explanations

Official implementation of NeurIPS 2023 paper "Trade-off Between Efficiency and Consistency for Removal-based Explanations" (https://arxiv.org/abs/2210.17426)

Language: Jupyter Notebook - Size: 2.58 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

junwu6/Trustworthy-Transfer-Learning

KDD 2023 tutorial "Trustworthy Transfer Learning: Transferability and Trustworthiness"

Size: 44.9 KB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

peymanrasouli/XdebugML

Explainable Debugger for Black-box Machine Learning Models

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

WaimenMak/Crowd-Flow-Inference

Language: Jupyter Notebook - Size: 49.7 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

jinhoishere/backdoor-attack-and-defense

Backdoor attack and the corresponding defense by activation clustering in Trustworthy Machine Learning

Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

csrzhang/csrzhang.github.io

My personal website.

Language: HTML - Size: 4.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

birhanu-eshete/birhanu-eshete.github.io

Birhanu Eshete is an Associate Professor of Computer Science at the University of Michigan, Dearborn. His main research focus is in trustworthy machine learning with emphasis on security, safety, privacy, interpretability, fairness, and the dynamics thereof. He also studies online cybercrime and advanced and persistent threats (APTs).

Language: HTML - Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

trustworthy-ml-course/trustworthy-ml-course.github.io

Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.

Language: HTML - Size: 1.98 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

um-dsp/um-dsp.github.io

DSPLab@UMich-Dearborn Website

Language: HTML - Size: 21.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0