zhangzp9970 Goto Github PK

followers: 18.0 following: 71.0 repos: 172.0 gists: 0.0

Name: Randy

Type: User

Company: Southeast University

Bio: Help everyone using the power of open source technology!

Location: China

Hi there 👋, I'm Zeping Zhang!

🔭 I’m currently working on AI security, particularly Model Inversion Attacks (MIA)
🌱 I’m currently persuing my Ph.D. degree on Cyber Science and Engineering in Southeast University, China.
📫 How to reach me: [email protected]
👯 I’m looking to collaborate on torchplus and making differences!
😄 Pronouns: zzp
✒️ Motto: Independent of Sprit, Free of Mind. (独立之精神，自由之**。)

Papers📃

Z. Zhang, X. Wang, J. Huang, and S. Zhang, “Analysis and Utilization of Hidden Information in Model Inversion Attacks,” IEEE Transactions on Information Forensics and Security, vol. 18, pp. 4449–4462, 2023, doi: 10.1109/TIFS.2023.3295942. [Code]
S. Zhang, J. Huang, Z. Zhang, and C. Qi, “Compromise Privacy in Large-Batch Federated Learning via Malicious Model Parameters,” in Algorithms and Architectures for Parallel Processing, W. Meng, R. Lu, G. Min, and J. Vaidya, Eds., in Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023, pp. 63–80. doi: 10.1007/978-3-031-22677-9_4. [Code]
S. Zhang, J. Huang, Z. Zhang, P. Li, and C. Qi, “Compromise privacy in large-batch Federated Learning via model poisoning,” Information Sciences, vol. 647, p. 119421, Nov. 2023, doi: 10.1016/j.ins.2023.119421. [Code]
C. Liang, J. Huang, Z. Zhang, and S. Zhang, “Defending against model extraction attacks with OOD feature learning and decision boundary confusion,” Computers & Security, vol. 136, p. 103563, Jan. 2024, doi: 10.1016/j.cose.2023.103563.
P. Li, J. Huang, H. Wu, Z. Zhang, and C. Qi, “SecureNet: Proactive intellectual property protection and model security defense for DNNs based on backdoor learning,” Neural Networks, p. 106199, Feb. 2024, doi: 10.1016/j.neunet.2024.106199.

Randy's Projects

acgan-pytorch

Unofficial Auxiliary Classifier GAN implementation (based on https://github.com/clvrai/ACGAN-PyTorch)

adain-style

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarial-model-inversion

Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)

adversarial-neural-cryptography

learning to protect communications with adversarial neural cryptography

age

Code for the paper "Adversarial Generator-Encoder Networks"

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

alpha-gan

pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv preprint arXiv:1706.04987 (2017).

Official code for paper: Z. Zhang, X. Wang, J. Huang and S. Zhang, "Analysis and Utilization of Hidden Information in Model Inversion Attacks," in IEEE Transactions on Information Forensics and Security, doi: 10.1109/TIFS.2023.3295942

andotp

Open source two-factor authentication for Android

animegan2-pytorch

PyTorch implementation of AnimeGANv2

animeganv2

[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

anomaly-xray-gans

Anomaly detection on X-Ray MURA dataset using GAN.

asg2cap

Code accompanying the paper "Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs" (Chen et al., CVPR 2020, Oral).