Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022
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Updated
Nov 25, 2021 - Jupyter Notebook
Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022
A curated list of Distribution Shift papers/articles and recent advancements.
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers
Repository for code release of preprint: "Repairing Systematic Outliers by Learning Clean Subspaces in VAEs".
Are machines "learning" anything? This repository explores some of the concepts from the book "Artificial Intelligence, a guide for thinking humans", by Melanie Mitchell.
Robust Object Detection Fusion Against Deception
Investigation of the effects of adversarial attacks and adversarial training on different variants of LSTM and CNN.
Robust Single-Linkage Clustering
Applying K-Means and Agglomerative hierarchical clustering to dataset
Final Project for CS486 - Robust Machine Learning. PyTorch Implementation of DefenseGAN using the CIFAR-10 Dataset
"RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning" by Yue Duan (ECCV 2022)
Repository for the Reliable and Trustworthy AI course offered in Fall 2022 at ETH Zürich: implementation of DeepPoly, Robustness Analyzer for Deep Neural Networks
Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".
👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)
Challenging label noise called BadLabel; Robust label-noise learning called Robust DivideMix
A curated list of Robust Machine Learning papers/articles and recent advancements.
AQuA: A Benchmarking Tool for Label Quality Assessment
Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.
The official implementation code of Paper "PointCVaR: Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification" in AAAI 2024 (Oral)
Breast Cancer Detection - This project tackles the crucial challenge of early breast cancer detection using machine learning techniques. Using Machine learnig algorithms, Support Vector Machine, Randon Forest.
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