Zilong Zhao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 35

Top Topics

Unlabeled Examples

Online Training

Feedback Control

Top Venues

Publications

Zilong Zhao, Aditya Kunar, Robert Birke, Hiek Van der Scheer, Lydia Y. Chen
CTAB-GAN+: enhancing tabular data synthesis. Frontiers Big Data 6 (2024)
Mohamed Rashad, Zilong Zhao, Jeremie Decouchant, Lydia Y. Chen
TabVFL: Improving Latent Representation in Vertical Federated Learning. CoRR (2024)
Zilong Zhao, Han Wu, Aad van Moorsel, Lydia Y. Chen
GTV: Generating Tabular Data via Vertical Federated Learning. CoRR (2023)
Zilong Zhao, Bogdan Robu, Ioan Doré Landau, Luc Dugard, Nicolas Marchand, Louis Job
Modelling and Optimal Control of MIMO System - France Macroeconomic Model Case. ECC (2023)
Zilong Zhao, Robert Birke, Lydia Y. Chen
GDTS: GAN-Based Distributed Tabular Synthesizer. CLOUD (2023)
Zilong Zhao, Robert Birke, Lydia Y. Chen
TabuLa: Harnessing Language Models for Tabular Data Synthesis. CoRR (2023)
Zilong Zhao, Jiyue Huang, Lydia Y. Chen, Stefanie Roos
Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks. FC (2023)
Zilong Zhao, Robert Birke, Lydia Y. Chen
FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform. CIKM (2023)
Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos
Fabricated Flips: Poisoning Federated Learning without Data. DSN (2023)
Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy. CoRR (2022)
Zilong Zhao, Robert Birke, Lydia Y. Chen
FCT-GAN: Enhancing Table Synthesis via Fourier Transform. CoRR (2022)
Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen
Permutation-Invariant Tabular Data Synthesis. CoRR (2022)
Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen
Permutation-Invariant Tabular Data Synthesis. Big Data (2022)
Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos
Blind leads Blind: A Zero-Knowledge Attack on Federated Learning. CoRR (2022)
Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen
CTAB-GAN+: Enhancing Tabular Data Synthesis. CoRR (2022)
Zilong Zhao, Jiyue Huang, Stefanie Roos, Lydia Y. Chen
Attacks and Defenses for Free-Riders in Multi-Discriminator GAN. CoRR (2022)
Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy. ISSRE (2022)
Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen
CTAB-GAN: Effective Table Data Synthesizing. ACML (2021)
Zilong Zhao, Robert Birke, Aditya Kunar, Lydia Y. Chen
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data. CoRR (2021)
Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
Enhancing Robustness of On-Line Learning Models on Highly Noisy Data. IEEE Trans. Dependable Secur. Comput. 18 (5) (2021)
Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
QActor: Active Learning on Noisy Labels. ACML (2021)
Zilong Zhao, Aditya Kunar, Hiek Van der Scheer, Robert Birke, Lydia Y. Chen
CTAB-GAN: Effective Table Data Synthesizing. CoRR (2021)
Ben Proven-Bessel, Zilong Zhao, Lydia Y. Chen
ComicGAN: Text-to-Comic Generative Adversarial Network. CoRR (2021)
Aditya Kunar, Robert Birke, Zilong Zhao, Lydia Y. Chen
DTGAN: Differential Private Training for Tabular GANs. CoRR (2021)
Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
Enhancing Robustness of On-line Learning Models on Highly Noisy Data. CoRR (2021)
Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Bouchenak, Lydia Y. Chen, Stefanie Roos
An Exploratory Analysis on Users' Contributions in Federated Learning. CoRR (2020)
Zilong Zhao, Sophie Cerf, Bogdan Robu, Nicolas Marchand
Event-Based Control for Online Training of Neural Networks. CoRR (2020)
Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Bouchenak, Lydia Y. Chen, Stefanie Roos
An Exploratory Analysis on Users' Contributions in Federated Learning. TPS-ISA (2020)
Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
QActor: On-line Active Learning for Noisy Labeled Stream Data. CoRR (2020)
Zilong Zhao, Sophie Cerf, Bogdan Robu, Nicolas Marchand
Event-Based Control for Online Training of Neural Networks. IEEE Control. Syst. Lett. 4 (3) (2020)
Zilong Zhao, Sophie Cerf, Bogdan Robu, Nicolas Marchand
Feedback Control for Online Training of Neural Networks. CoRR (2019)
Zilong Zhao, Sophie Cerf, Bogdan Robu, Nicolas Marchand
Feedback Control for Online Training of Neural Networks. CCTA (2019)
Zilong Zhao, Sophie Cerf, Robert Birke, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
Robust Anomaly Detection on Unreliable Data. DSN (2019)
Amirmasoud Ghiassi, Taraneh Younesian, Zilong Zhao, Robert Birke, Valerio Schiavoni, Lydia Y. Chen
Robust (Deep) Learning Framework Against Dirty Labels and Beyond. TPS-ISA (2019)
Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
RAD: On-line Anomaly Detection for Highly Unreliable Data. CoRR (2019)