Pinned Repositories
1
accessorize-to-a-crime
Code for attacking state-of-the-art face-recognition system from our paper: M. Sharif, S. Bhagavatula, L. Bauer, M. Reiter. "Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition." In Proc. CCS, 2016.
AREFR
AREFR(Adversarial Robustness Evaluation for Face Recognition) 人脸识别对抗鲁棒性评估平台
ares
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
DOPatch
distribution-optimized adversarial patch
Ensemble-Adversarial-Training
Pytorch code for ens_adv_train
Heathcliff-saku.github.io
Omniview_Tuning
This repo releases the code of our paper: "Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models" (ECCV2024)
VIAT
Official implementation of VIAT (Viewpoint-Invariant Adversarial Training) and GMVFool
ViewFool_
This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).
Heathcliff-saku's Repositories
Heathcliff-saku/ViewFool_
This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).
Heathcliff-saku/AREFR
AREFR(Adversarial Robustness Evaluation for Face Recognition) 人脸识别对抗鲁棒性评估平台
Heathcliff-saku/VIAT
Official implementation of VIAT (Viewpoint-Invariant Adversarial Training) and GMVFool
Heathcliff-saku/Omniview_Tuning
This repo releases the code of our paper: "Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models" (ECCV2024)
Heathcliff-saku/DOPatch
distribution-optimized adversarial patch
Heathcliff-saku/Heathcliff-saku.github.io
Heathcliff-saku/1
Heathcliff-saku/accessorize-to-a-crime
Code for attacking state-of-the-art face-recognition system from our paper: M. Sharif, S. Bhagavatula, L. Bauer, M. Reiter. "Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition." In Proc. CCS, 2016.
Heathcliff-saku/ares
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
Heathcliff-saku/Ensemble-Adversarial-Training
Pytorch code for ens_adv_train
Heathcliff-saku/face_recognition
🍎 My own face recognition with deep neural networks.
Heathcliff-saku/hello-world
Heathcliff-saku/InsightFace_Pytorch
Pytorch0.4.1 codes for InsightFace
Heathcliff-saku/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
Heathcliff-saku/nnabla-examples
Neural Network Libraries https://nnabla.org/ - Examples
Heathcliff-saku/OmniviewTuning.github.io
Heathcliff-saku/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Heathcliff-saku/Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
Heathcliff-saku/test4
Heathcliff-saku/vgg-face.pytorch
VGG-Face Descriptor port to pytorch
Heathcliff-saku/VLM_survey
Vision-Language Models for Vision Tasks: A Survey