Jianing Zhu's Projects
全面的算法代码仓库
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
Codes for adversarial weight perturbation in NeurIPS 2020
[NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
[ICLR'22] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
[ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers
Learn OpenCV : C++ and Python Examples
[ICML 2023] "Exploring Model Dynamics for Accumulative Poisoning Discovery"
Personal learning notes for Machine Learning
Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
Open MMLab Detection Toolbox and Benchmark
PRML algorithms implemented in Python
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
[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
SFAT implemented with MindSpore
[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"