Repository for code release of preprint: "Repairing Systematic Outliers by Learning Clean Subspaces in VAEs".
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Updated
Mar 27, 2023 - Jupyter Notebook
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.
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
Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.
Robust Object Detection Fusion Against Deception
Repository for the Reliable and Trustworthy AI course offered in Fall 2022 at ETH Zürich: implementation of DeepPoly, Robustness Analyzer for Deep Neural Networks
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.
Investigation of the effects of adversarial attacks and adversarial training on different variants of LSTM and CNN.
Robust Single-Linkage Clustering
Implementation of the paper: Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability (ICPR 2020)
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers
Code of ICLR SRML paper titled "Fair Machine Learning under Limited Demographically Labeled Data"
Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization
Challenging label noise called BadLabel; Robust label-noise learning called Robust DivideMix
👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)
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.
The official implementation code of Paper "PointCVaR: Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification" in AAAI 2024 (Oral)
Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".
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