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academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

adaptive_attacks_paper

Code for "On Adaptive Attacks to Adversarial Example Defenses"

admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

admm_attack

code for the paper An ADMM-Based Universal Framework for Adversarial Atacks on Deep Neural Networks （licence belongs to authors）

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

adversarial-examples-in-pytorch

Pytorch code to generate adversarial examples on mnist and ImageNet data.

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

aion-lightning-4.9-src

Aion-Lighting is a public release of the Aion-Lightning Source. It's purely non-profit and the code is not used for any commercial purposes.

aion-lightning-6.0

andrewngmachinelearning

anti-dreambooth

Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV'23)

ares

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

cvx

A MATLAB system for disciplined convex programming

datak

datk

deep_mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

dnn-watermark

Implementation of "Embedding Watermarks into Deep Neural Networks," in Proc. of ICMR'17.

face_landamark_hrnet-facial-landmark-detection

This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

fast-wasserstein-adversarial

Implementation of Wasserstein adversarial attacks.

gpt_academic

为ChatGPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等

graph-similarity-learning

Algorithms for learning network structure from effective resistances and other random-walk-based similarities.

guided-denoise

The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL

hessian

hessian in pytorch

hessian-for-basicdl

can calculate the Hessian matrix and/or its spectrum for simple neural nets

imageforensicsosn

imagenet

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

imagenet-1

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

jinyutian.github.io

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