Robust Mini-batch Gradient Descent models
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Updated
Jun 13, 2022 - Python
Robust Mini-batch Gradient Descent models
Simple math project about how designing robust and reliable paper helicopters.
The relevant codes for "GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections".
Explore/examine/explain/expose your model with the explabox!
CAT: Collaborative Adversarial Training
Augmentation for CV using frequency shortcuts
AGS: Attribution Guided Sharpening
Implementations accompanying research on Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing (CROP)
Official Pytorch implementations of "Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations" (NeurIPS'23)
Measures stability of the fairness measure for a fair AI
Public repository of our assessment work in missing views for EO applications
[ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"
Fooling Machine Learning Models: A Novel Out-of-Distribution Attack through Generative Adversarial Networks
Improving model's robustness to transfer attacks by regularizing projection of input gradients.
2022 Spring Semester, Personal Project Research
This project Implements the paper “Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces” using the Python language.
Code from the paper "Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4" in BSW at Cosyne 2022
NLP tool for wide-range model reliability evaluations
Code for the paper 'Robust Pronoun Use Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?'
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