Publications and Manuscripts
Shuaiqi Wang, Shuran Zheng, Zinan Lin, Giulia Fanti and Zhiwei Steven Wu.
"Inferentially-Private Private Information".
Shuaiqi Wang, Zinan Lin and Giulia Fanti.
"Statistic Maximal Leakage".
ISIT 2024.
Shuaiqi Wang, Rongzhe Wei, Mohsen Ghassemi, Eleonora Kreacic and Vamsi K. Potluru.
"Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing".
ICLR 2024 PML Workshop.
Xinyi Xu, Shuaiqi Wang, Chuan-Sheng Foo, Bryan Kian Hsiang Low and Giulia Fanti.
"Data Distribution Valuation".
NeurIPS 2024.
Ronghao Ni, Zinan Lin, Shuaiqi Wang and Giulia Fanti.
"Mixture-of-Linear-Experts for Long-term Time Series Forecasting".
AISTATS 2024.
Zinan Lin*, Shuaiqi Wang*, Vyas Sekar, and Giulia Fanti.
"Summary Statistic Privacy in Data Sharing".
IEEE Journal on Selected Areas in Information Theory, NeurIPS 2022 SyntheticData4ML.
* Equal contribution.
Shuaiqi Wang, Jonathan Hayase, Giulia Fanti and Sewoong Oh.
"Towards a Defense against Backdoor Attacks in Continual Federated Learning".
[code]
Transactions on Machine Learning Research.
Shuaiqi Wang, Shuhao Li, Luoyi Fu and Xiaojun Lin.
"Efficient Distributed Steiner Tree Construction in Wireless Sensor Networks with Unreliable Links".
Benjie Miao, Shuaiqi Wang, Luoyi Fu and Xiaojun Lin.
"De-anonymizability of Social Network: Through the Lens of Symmetry".
MobiHoc 2020.
Luoyi Fu, Jiapeng Zhang, Shuaiqi Wang, Xinyu Wu, Xinbing Wang and Guihai Chen.
"De-anonymizing social networks with overlapping community structure".
IEEE/ACM Transactions on Networking.
Xudong Wu, Luoyi Fu, Shuaiqi Wang, Bo Jiang, Xinbing Wang and Guihai Chen.
"Collective Influence Maximization in Mobile Social Networks".
IEEE Transactions on Mobile Computing.
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