Pinned Repositories
ActiveDaemon
AdvDoor
AdvDoor: Adversarial Backdoor Attack of Deep Learning System
adversarial-model-inversion
Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)
adversarial_examples
apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Graduation-Design_CSharp
🌊License Plate Detection and Recognition, mainly in the research of Form and design
Graduation-Design_Py
🔥License Plate Detection and Recognition, mainly in the research of algorithm
input-aware-backdoor-attack-release
Input-aware Dynamic Backdoor Attack (NeurIPS 2020)
LRWeather
🦊Weather Report App
LANCEREN's Repositories
LANCEREN/ActiveDaemon
LANCEREN/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
LANCEREN/Graduation-Design_Py
🔥License Plate Detection and Recognition, mainly in the research of algorithm
LANCEREN/Backdoor-attack-against-speaker-verification
Pytorch implementation of Backdoor Attack against Speaker Verification
LANCEREN/BadDiffusion
Official repo to reproduce the paper "How to Backdoor Diffusion Models?" published at CVPR 2023
LANCEREN/blind_watermark
Blind&Invisible Watermark ，图片盲水印，提取水印无须原图！
LANCEREN/DeepIPR
This is the code repo of our NeurIPS2019 work that proposes novel passport-based DNN ownership verification schemes, i.e. we embed passport layer into various deep learning architectures (e.g. AlexNet, ResNet) for Intellectual Property Right (IPR) protection.
LANCEREN/DeHiB
LANCEREN/FIBA
Code for paper 'FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis'
LANCEREN/ipr-gan
This is the code repo of CVPR2021 on protecting the IPR of Generative Adversarial Networks (GANs) from Ambiguity Attack
LANCEREN/ipr-imagecaptioning
This is the code repo of Pattern Recognition journal on IPR protection of Image Captioning Models
LANCEREN/ISSBA
Invisible Backdoor Attack with Sample-Specific Triggers
LANCEREN/LFEA
LANCEREN/maltrail
Malicious traffic detection system
LANCEREN/Model-Inversion-Attack
Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (Fredrikson Et al.)
LANCEREN/MS-Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
LANCEREN/msbeit3
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
LANCEREN/Neural_Cleanse_backdoor
Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and Privacy 2019.
LANCEREN/pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
LANCEREN/PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
LANCEREN/RecurrentIPR
This is the code repo of AACL-IJCNLP 2022 on IPR protection of Recurrent Neural Network (RNN)
LANCEREN/Semi-supervised-learning
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
LANCEREN/semi-vit
PyTorch implementation of Semi-supervised Vision Transformers
LANCEREN/simpleAICV-pytorch-ImageNet-COCO-training
Training examples and results for ImageNet(ILSVRC2012)/COCO2017/VOC2007+VOC2012 datasets.Include ResNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLO series.
LANCEREN/Stealing_DL_Models_copycat
Copycat CNN
LANCEREN/StegaStamp_pytorch
StegaStamp of pytorch version
LANCEREN/TopoTrigger
Codes for the ICLR 2022 paper: Trigger Hunting with a Topological Prior for Trojan Detection
LANCEREN/trojanzoo
TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.
LANCEREN/TrojDiff
LANCEREN/ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)