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Research Group

Yang Zhang

Machine Learning and Data Privacy

Our group conducts research in the intersection of machine learning and data privacy. On the one hand, we use machine learning models to assess and mitigate the privacy risks stemming from various kinds of data, such as social network data and biomedical data. On the other hand, we investigate the privacy risks of machine learning models.

Head of Group

Yang Zhang

Email

Address

Stuhlsatzenhaus 5
66123 Saarbrücken (Germany)

Members

Placeholder

Boyang Zhang

Xinlei He

Zheng Li
Placeholder

Zeyang Sha

Yukun Jiang

Most Recent Publications

Year 2023

2023-08-09

UnGANable: Defending Against GAN-based Face Manipulation

Conference / Medium

USENIX-Security
USENIX SecurityUSENIX Security

Tags
Algorithmic Foundations and Cryptography
Authors
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2023-08-09

PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model

Conference / Medium

USENIX-Security
USENIX Security Symposium 2023USENIX Security Symposium 2023

Tags
Algorithmic Foundations and Cryptography
Authors
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2023-02-07

Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network

Conference / Medium

AAAI
AAAI 2023AAAI 2023

Tags
Algorithmic Foundations and Cryptography
Authors
  • Xiaojian Yuan
  • Kejiang Chen
  • Jie Zhang
  • Weiming Zhang
  • Nenghai Yu
  • Yang Zhang
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2023-01-02

On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learning

Conference / Medium

SP
2023 IEEE Symposium on Security and Privacy (SP)44th IEEE Symposium on Security and Privacy (S&P '23)

Tags
Algorithmic Foundations and Cryptography
Authors
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Year 2022

2022-11-28

Amplifying Membership Exposure via Data Poisoning

Conference / Medium

NeurIPS
NeurIPS 2022NeurIPS 2022

Tags
Algorithmic Foundations and Cryptography
Authors
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