Pinned Repositories
H2TC
Relevant codes for H2TC
OODRobustBench
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024
adversarial-robustness-toolbox
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
APT
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
AROID
AROID: Improving Adversarial Robustness Through Online Instance-Wise Data Augmentation. IJCV 2024.
Combating-RO-AdvLC
Combating robust overfitting in adversarial training via AdvLC
DA-Alone-Improves-AT
data augmentation alone can improve adversarial training
Facial-Expression-Recognition_Decision-Tree
Facial Expression Classificaion using Decision Trees with input of AUs
ISEAT
Instance adaptive Smoothness Enhanced Adversarial Training (ISEAT)
adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
TreeLLi's Repositories
TreeLLi/APT
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
TreeLLi/DA-Alone-Improves-AT
data augmentation alone can improve adversarial training
TreeLLi/Combating-RO-AdvLC
Combating robust overfitting in adversarial training via AdvLC
TreeLLi/ISEAT
Instance adaptive Smoothness Enhanced Adversarial Training (ISEAT)
TreeLLi/Facial-Expression-Recognition_Decision-Tree
Facial Expression Classificaion using Decision Trees with input of AUs
TreeLLi/adversarial-robustness-toolbox
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
TreeLLi/AROID
AROID: Improving Adversarial Robustness Through Online Instance-Wise Data Augmentation. IJCV 2024.
TreeLLi/cifar10-r
CIAFR10-R(endition): a downsampled variant of ImageNet-R(endition)
TreeLLi/CNTK-Hotel-pictures-classificator
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.
TreeLLi/CNTK_Room-Recognition_Datasets
TreeLLi/Facial-Expression-Recognition_Neural-Network
TreeLLi/Gaussian-Process
TreeLLi/inner-detectors
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.
TreeLLi/interpreting-techniques
the implementation of selected popular techniques for interpreting the complicated machine learning models esp. Deep Neural Networks.
TreeLLi/OODRobustBench
The code base of OODRobustBench
TreeLLi/RNN-from-scratch
This is a tutorial for personal practice regarding building RNNs from scratch.
TreeLLi/Sampling_MCMC_Gibbs
TreeLLi/treelli.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics