Madry Lab

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68 repositories

rla
Public
Residue Level Alignment
Python
•
MIT License
•2•14•0•0•Updated Nov 21, 2024Nov 21, 2024
trak
Public
A fast, effective data attribution method for neural networks in PyTorch
machine-learning deep-learning attribution pytorch neural-tangent-kernel
Python
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MIT License
•25•180•5•0•Updated Nov 18, 2024Nov 18, 2024
fast_l1
Public
Jupyter Notebook
•
Apache License 2.0
•2•7•0•1•Updated Oct 18, 2024Oct 18, 2024
context-cite
Public
Attribute (or cite) statements generated by LLMs back to in-context information.
attribution pytorch huggingface llm
Jupyter Notebook
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MIT License
•14•150•1•0•Updated Oct 8, 2024Oct 8, 2024
implementation-matters
Public
Python
•
MIT License
•12•118•3•3•Updated Jul 25, 2024Jul 25, 2024
cox
Public
A lightweight experimental logging library
Python
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MIT License
•5•48•4•4•Updated Jul 25, 2024Jul 25, 2024
modelcomponents
Public
Decomposing and Editing Predictions by Modeling Model Computation
attribution pytorch interpretability model-editing mechanistic-interpretability
Jupyter Notebook
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MIT License
•6•124•0•0•Updated Jun 12, 2024Jun 12, 2024
mirrorSDF
Public
Jupyter Notebook
•
MIT License
•0•0•0•0•Updated May 23, 2024May 23, 2024
D3M
Public
Debiasing Through Data Attribution
Python
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MIT License
•0•7•1•0•Updated May 23, 2024May 23, 2024
pretraining-distribution-shift-robustness
Public
Jupyter Notebook
•0•13•1•0•Updated Mar 4, 2024Mar 4, 2024
DsDm
Public
Python
•2•43•2•0•Updated Jan 24, 2024Jan 24, 2024
robustness
Public
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
Jupyter Notebook
•
MIT License
•181•917•23•5•Updated Jan 11, 2024Jan 11, 2024
trak_transfer_internal
Public
Jupyter Notebook
•0•0•0•0•Updated Dec 13, 2023Dec 13, 2023
journey-TRAK
Public
Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
generative-models diffusion-models data-valuation data-attribution
Python
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MIT License
•1•19•1•0•Updated Dec 12, 2023Dec 12, 2023
modeldiff
Public
ModelDiff: A Framework for Comparing Learning Algorithms
Jupyter Notebook
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MIT License
•4•53•1•0•Updated Aug 15, 2023Aug 15, 2023
rethinking-backdoor-attacks
Public
backdoor-attacks poisoning-attacks data-attribution
Python
•0•16•0•0•Updated Jul 20, 2023Jul 20, 2023
datamodels-data
Public
Data for "Datamodels: Predicting Predictions with Training Data"
Python
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MIT License
•3•91•0•0•Updated May 25, 2023May 25, 2023
datamodels
Public
Python
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Apache License 2.0
•3•23•1•1•Updated May 24, 2023May 24, 2023
AIaaS_Supply_Chains
Public
Dataset and overview
MIT License
•0•2•0•0•Updated May 16, 2023May 16, 2023
robust-features-code
Public
Code for "Robustness May Be at Odds with Accuracy"
Jupyter Notebook
•12•93•2•3•Updated Mar 24, 2023Mar 24, 2023
dataset-interfaces
Public
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
Jupyter Notebook
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MIT License
•2•43•1•0•Updated Feb 27, 2023Feb 27, 2023
photoguard
Public
Raising the Cost of Malicious AI-Powered Image Editing
computer-vision deep-learning robustness adversarial-examples adversarial-attacks deepfakes stable-diffusion
Jupyter Notebook
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MIT License
•45•568•5•0•Updated Feb 27, 2023Feb 27, 2023
relu_stable
Public
Python
•5•26•1•5•Updated Feb 15, 2023Feb 15, 2023
failure-directions
Public
Distilling Model Failures as Directions in Latent Space
Jupyter Notebook
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MIT License
•5•45•2•0•Updated Feb 8, 2023Feb 8, 2023
post--adv-discussion
Public
HTML
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Creative Commons Attribution 4.0 International
•2•2•0•15•Updated Dec 8, 2022Dec 8, 2022
EditingClassifiers
Public
Python
•7•96•0•0•Updated Oct 27, 2022Oct 27, 2022
places-finetuning
Public
Python
•0•0•0•0•Updated Sep 25, 2022Sep 25, 2022
data-transfer
Public
Python
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MIT License
•1•34•3•0•Updated Sep 23, 2022Sep 23, 2022
bias-transfer
Public
bias deep-learning pytorch transfer-learning
Python
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MIT License
•0•15•0•0•Updated Jul 24, 2022Jul 24, 2022
mnist_challenge
Public
A challenge to explore adversarial robustness of neural networks on MNIST.
Python
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MIT License
•179•734•1•0•Updated May 3, 2022May 3, 2022