treelli Goto Github PK
Name: Lin Li
Type: User
Bio: PhD student @ King's College London (KCL) Trustworthy ML, Data-centric ML
Twitter: betterlinli
Name: Lin Li
Type: User
Bio: PhD student @ King's College London (KCL) Trustworthy ML, Data-centric ML
Twitter: betterlinli
Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
AROID: Improving Adversarial Robustness Through Online Instance-Wise Data Augmentation. IJCV 2024.
CIAFR10-R(endition): a downsampled variant of ImageNet-R(endition)
This project is a part of my MSc degree in Department of Computing, Imperial College London. This project is done under the efficient collaboration with my classmates Tomasz Bartkowiak, Danlin Peng, Yini Fang, Suampa Ketpreechasawat, and Nattapat Chaimanowong. We appreciate much all sincere and helpful advices received from co-supervisors, Anandha Gopalan (Imperial College London), Lee Stott (Microsoft), Tempest van Schaik (Microsoft) and Geoff Hughes (Microsoft), and the sponsor from Microsoft regarding Azure.
Combating robust overfitting in adversarial training via AdvLC
data augmentation alone can improve adversarial training
Facial Expression Classificaion using Decision Trees with input of AUs
An inner detector is a unit, representing a semantic concept in the raw input image, in an intermediate layer. This project is designed to identify inner detectors, explore their properties and transfer them. The goal of project is to build an high interpretable network via transferring inner detectors.
the implementation of selected popular techniques for interpreting the complicated machine learning models esp. Deep Neural Networks.
Instance adaptive Smoothness Enhanced Adversarial Training (ISEAT)
The code base of OODRobustBench
This is a tutorial for personal practice regarding building RNNs from scratch.
A beautiful, simple, clean, and responsive Jekyll theme for academics
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.