Pinned Repositories
DeepInception
[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"
trustMLresearch.github.io
Website
DeepInception
DivOE
[NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
eth-cs-notes
Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich
IAD
[ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers
Memorization-Discrepancy
[ICML 2023] "Exploring Model Dynamics for Accumulative Poisoning Discovery"
SFAT
[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
Unleashing-Mask
[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
Geometry-aware-Instance-reweighted-Adversarial-Training
the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral
ZFancy's Repositories
ZFancy/SFAT
[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
ZFancy/IAD
[ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers
ZFancy/Unleashing-Mask
[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
ZFancy/DivOE
[NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
ZFancy/Memorization-Discrepancy
[ICML 2023] "Exploring Model Dynamics for Accumulative Poisoning Discovery"
ZFancy/eth-cs-notes
Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich
ZFancy/DeepInception
ZFancy/Algorithms
全面的算法代码仓库
ZFancy/auto-attack
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
ZFancy/AWP
Codes for adversarial weight perturbation in NeurIPS 2020
ZFancy/Friendly-Adversarial-Training
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
ZFancy/Generalization-Causality
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
ZFancy/GIA-HAO
[ICLR'22] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
ZFancy/learnopencv
Learn OpenCV : C++ and Python Examples
ZFancy/MLnotes
Personal learning notes for Machine Learning
ZFancy/mma_training
Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
ZFancy/mmdetection
Open MMLab Detection Toolbox and Benchmark
ZFancy/PRML
PRML algorithms implemented in Python
ZFancy/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
ZFancy/SFAT-MindSpore
SFAT implemented with MindSpore
ZFancy/ZFancy
ZFancy/zfancy.github.io