BROranger

BROranger's Stars

• changzhang777/ANCRA

  official code of ANCRA

  Language:Python5

• JacksonWuxs/UsableXAI_LLM

  Using Explanations as a Tool for Advanced LLMs

  Language:Python401

• rmrisforbidden/Fooling_Neural_Network-Interpretations

  This repository provides a PyTorch implementation of "Fooling Neural Network Interpretations via Adversarial Model Manipulation". Our paper has been accepted to NeurIPS 2019.

  Language:Jupyter Notebook225

• fastai/imagenette

  A smaller subset of 10 easily classified classes from Imagenet, and a little more French

  Language:Jupyter Notebook95572

• harshays/inputgradients

  Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)

  Language:Jupyter Notebook131

• alps-lab/adv2

  ADV2: Interpretable Deep Learning under Fire

  Language:Python51

• AkhilanB/Proper-Interpretability

  Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", published at ICML 2020

  Language:Python133

• Muzammal-Naseer/CDA

  Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)

  Language:Python5711

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook24.7k3.2k

• BioroboticsLab/IBA

  Information Bottlenecks for Attribution

  Language:Python739

• thestephencasper/feature_level_adv

  Demo code for the paper: One Thing to Fool them All: Generating Interpretable, Universal, and Physically-Realizable Adversarial Features

  Language:Jupyter Notebook101

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.5k1.8k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16k6.9k

• ivanpanshin/SupCon-Framework

  Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks

  Language:Python16721

• MadryLab/robustness

  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

  Language:Jupyter Notebook905181

• locuslab/fast_adversarial

  [ICLR 2020] A repository for extremely fast adversarial training using FGSM

  Language:Python42293

• samzabdiel/XAI

  Papers and code of Explainable AI esp. w.r.t. Image classificiation

  Language:Jupyter Notebook19127

• RUCAIBox/RecSysDatasets

  This is a repository of public data sources for Recommender Systems (RS).

  Language:Python790126

• xherdan76/A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability

  A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)

  Language:Python288

• alvinwan/neural-backed-decision-trees

  Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

  Language:Python604130

• ankurtaly/Integrated-Gradients

  Attributing predictions made by the Inception network using the Integrated Gradients method

  Language:Jupyter Notebook59399

• oneTaken/awesome_deep_learning_interpretability

  深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

  730122

• pytorch/captum

  Model interpretability and understanding for PyTorch

  Language:Python4.8k488

• XAITK/xaitk-saliency

  As part of the Explainable AI Toolkit (XAITK), XAITK-Saliency is an open source, explainable AI framework for visual saliency algorithm interfaces and implementations, built for analytics and autonomy applications.

  Language:Python8024

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks]

  Language:Python1.9k345

• zymaples/Sign

  Language:Java186

• localhost02/SealUtil

  印章生成工具：使用Java Graphics2D生成各类圆形/椭圆公章、私章图片

  Language:Java482188

• utkuozbulak/pytorch-cnn-visualizations

  Pytorch implementation of convolutional neural network visualization techniques

  Language:Python7.8k1.5k

• NVlabs/stylegan

  StyleGAN - Official TensorFlow Implementation

  Language:Python14.1k3.2k

• junyanz/pytorch-CycleGAN-and-pix2pix

  Image-to-Image Translation in PyTorch

  Language:Python22.7k6.3k