Pinned Repositories
A-Stylized-Generation-Method-of-Portrait-Comics-Based-on-Feature-Extraction
biprop
Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing the network.
CNNs_vs_Weather
Examining the effects of natural perturbations such as rain, snow, fog and occlusions on the most popular CNN models
ensemble-learning-benchmark
This repository will present the current work of ensemble learning and other related things
LVLMs_Exploring
Mixture-of-Robust-Experts-MoRE-
This repo present the main code to realize the Mixture-of-Robust-Experts structure. This structure could mix clean, adversarial and natural perturbations models to defend against corresponding types of inputs.
MoL_traning_and_pruning
This repo is for the MoL paper
projectvideo
this is the final video
Style-Transfer-in-NUS-SOC
This method uses the traditional mathematics method and deep learning. To make a video more artistic. We transfer it from the original video to the pencil style, oil style and Van Gogh style
TypoDeceptions
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model, ECCV2024
ChaduCheng's Repositories
ChaduCheng/ensemble-learning-benchmark
This repository will present the current work of ensemble learning and other related things
ChaduCheng/A-Stylized-Generation-Method-of-Portrait-Comics-Based-on-Feature-Extraction
ChaduCheng/LVLMs_Exploring
ChaduCheng/Style-Transfer-in-NUS-SOC
This method uses the traditional mathematics method and deep learning. To make a video more artistic. We transfer it from the original video to the pencil style, oil style and Van Gogh style
ChaduCheng/TypoDeceptions
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model, ECCV2024
ChaduCheng/biprop
Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing the network.
ChaduCheng/CNNs_vs_Weather
Examining the effects of natural perturbations such as rain, snow, fog and occlusions on the most popular CNN models
ChaduCheng/Mixture-of-Robust-Experts-MoRE-
This repo present the main code to realize the Mixture-of-Robust-Experts structure. This structure could mix clean, adversarial and natural perturbations models to defend against corresponding types of inputs.
ChaduCheng/MoL_traning_and_pruning
This repo is for the MoL paper
ChaduCheng/projectvideo
this is the final video
ChaduCheng/Manipulat-Facing-Threats
ChaduCheng/Pytorch-Gain
An implementation of GAIN heatmap network in pytorch. Original paper: https://arxiv.org/abs/1802.10171
ChaduCheng/RBFormer
Code for "RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias, BMVC 2023"