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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]
  • Z. Zhang and J. Huang, “Aligning the domains in cross domain model inversion attack,” Neural Networks, vol. 178, p. 106490, Oct. 2024, doi: 10.1016/j.neunet.2024.106490. [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

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-vae icon pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

repmlp icon repmlp

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

ressfl icon ressfl

Official Repository for ResSFL (accepted by CVPR '22)

rlb-mi icon rlb-mi

This is a PyTorch implementation of the paper "Reinforcement Learning-Based Black-Box Model Inversion Attacks" accepted by CVPR 2023.

rsa icon rsa

C++ code of 1024 rsa

secretflow icon secretflow

A unified framework for privacy-preserving data analysis and machine learning

self-attention-gan icon self-attention-gan

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

separate_to_adapt icon separate_to_adapt

Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)

shot icon shot

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

ssda_mme icon ssda_mme

Semi-supervised Domain Adaptation via Minimax Entropy

sstda icon sstda

(CVPR 2020) Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

stargan-v2 icon stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

stylegan icon stylegan

StyleGAN - Official TensorFlow Implementation

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