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Search results for python trustworthy ai
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trustworthy-ai
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23 search results found
Adversarial Robustness Toolbox
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4,420
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Giskard
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2,509
🐢 The testing framework for ML models, from tabular to LLMs
Backdoorbox
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325
The open-sourced Python toolbox for backdoor attacks and defenses.
Trustllm
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164
TrustLLM: Trustworthiness in Large Language Models
Ai Privacy Toolkit
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79
A toolkit for tools and techniques related to the privacy and compliance of AI models.
Attackvlm
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79
Code of the paper: On Evaluating Adversarial Robustness of Large Vision-Language Models
Aiverify
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67
AI Verify
Model Inversion Attack Toolbox
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57
A comprehensive benchmark for model inversion attacks and defenses, which is easy to get started.
Entropic Out Of Distribution Detection
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47
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.
Flat
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46
[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory
Graphood Gnnsafe
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42
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Robust Video Object Segmentation
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41
[ACM MM22] Towards Robust Video Object Segmentation with Adaptive Object Calibration, ACM Multimedia 2022
Torchprism
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40
Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework
Distinction Maximization Loss
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34
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.
Contrxt
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19
a tool for comparing the predictions of any text classifiers
Fairbatch
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16
FairBatch: Batch Selection for Model Fairness (ICLR 2021)
Gifd_gradient_inversion_attack
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15
[ICCV-2023] Gradient inversion attack, Federated learning, Generative adversarial network.
Merlin
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14
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.
Moonshot
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14
Moonshot - A simple and modular tool to evaluate and red-team any LLM application.
Fni Rl
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10
[TPAMI, 2023] Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving
Autopeptideml
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9
AutoML system for building trustworthy peptide bioactivity predictors
Robust Deep Learning
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9
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.
Trustworthy Ai Fetal Brain Segmentation
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6
Trustworthy AI method based on Dempster-Shafer theory - application to fetal brain 3D T2w MRI segmentation
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