TabWak: A Watermark for Tabular Diffusion Models

Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen

ICLR 2025 (๐Ÿ† Spotlight): ๐Ÿ“„ Paper | ๐Ÿ’ป Code | ๐Ÿ–ผ๏ธ Poster

Citation
@inproceedings{zhu2025tabwak,
  author    = {Chaoyi Zhu and
               Jiayi Tang and
               Jeroen M. Galjaard and
               Pin{-}Yu Chen and
               Robert Birke and
               Cornelis Bos and
               Lydia Y. Chen},
  title     = {TabWak: A Watermark for Tabular Diffusion Models},
  booktitle = {The Thirteenth International Conference on Learning Representations, {ICLR} 2025},
  publisher = {OpenReview.net},
  year      = {2025}
}

Duwak: Dual Watermarks in Large Language Models

Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen

ACL 2024: ๐Ÿ“„ Paper | ๐Ÿ’ป Code

Citation
@inproceedings{zhu2024duwak,
    author      = {Chaoyi Zhu and
                   Jeroen M. Galjaard and
                   Pin{-}Yu Chen and
                   Lydia Y. Chen},
    title       = {Duwak: Dual Watermarks in Large Language Models},
    booktitle   = {Findings of the Association for Computational Linguistics: ACL 2024},
    publisher   = {Association for Computational Linguistics},
    year        = {2024},
    doi         = {10.18653/v1/2024.findings-acl.678}
}

WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion Models

๐Ÿ“„ Paper | ๐Ÿ’ป Code

Citation
@article{shankar2025wavestitch,
    author  = {Aditya Shankar and
               Lydia Y. Chen and
               Arie van Deursen and
               Rihan Hai},
    title   = {WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion Models},
    journal = {CoRR},
    volume  = {abs/2503.06231},
    year    = {2025}
}

CCBNet: Confidential Collaborative Bayesian Networks Inference

Abele Mฤƒlan, Thiago Guzella, Jรฉrรฉmie Decouchant, Lydia Y. Chen

FC 2025: ๐Ÿ“„ Paper | ๐Ÿ’ป Code

Citation
@inproceedings{malan2025ccbnet,
    author      = {Abele Mฤƒlan and
                   Thiago Guzella and
                   Jรฉrรฉmie Decouchant and
                   Lydia Chen},
    title       = {CCBNet: Confidential Collaborative Bayesian Networks Inference},
    booktitle   = {Financial Cryptography and Data Security - 29th International Conference, {FC} 2025},
    series      = {Lecture Notes in Computer Science},
    publisher   = {Springer},
    year        = {2025},
}

TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models

Caspar Meijer, Jiyue Huang, Shreshtha Sharma, Elena Lazovik, Lydia Y. Chen

SaTML 2025: ๐Ÿ“„ Paper | ๐Ÿ’ป Code

Citation
@inproceedings{meijer2025tsinverse,
    author      = {Caspar Meijer and
                   Jiyue Huang and
                   Shreshtha Sharma and
                   Elena Lazovik and
                   Lydia Y. Chen},
    title       = {TS-Inverse: {A} Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models},
    booktitle   = {IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2025},
    publisher   = {IEEE},
    year        = {2025},
    doi         = {10.1109/SATML64287.2025.00014}
}

BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise

Jeroen Galjaard, Robert Birke, Juan Pรฉrez, and Lydia Y. chen

ECML 2025: ๐Ÿ“„ Paper | ๐Ÿ’ป Code

Citation
@inproceedings{galjaard2025batmanclr,
    author      = {Jeroen Galjaard  and
                   Robert Birke and
                   Juan Perez and
                   Lydia Y. Chen},
    title       = {BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise.},
    booktitle   = {Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, {ECML} {PKDD} 2025},
    year        = {2025}
}

Federated Time Series Generation on Feature and Temporally Misaligned Data

Zhi Wen Soi, Chenrui Fan, Aditya Shankar, Abele Mฤƒlan, Lydia Y. Chen

ECML 2025: ๐Ÿ“„ Paper | ๐Ÿ’ป Code

Citation
@inproceedings{soi2025fedtdd,
    author      = {Zhi Wen Soi and
                   Chenrui Fan and
                   Aditya Shankar and
                   Abele Mฤƒlan and
                   Lydia Y. Chen},
    title       = {Federated Time Series Generation on Feature and Temporally Misaligned Data},
    booktitle   = {Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, {ECML} {PKDD} 2025},
    year        = {2025}
}

TabuLa: Harnessing Language Models for Tabular Data Synthesis

Zilong Zhao, Robert Birke, Lydia Chen

PAKDD 2025: ๐Ÿ“„ Paper | ๐Ÿ’ป Code

Citation
@inproceedings{zhao2025stv,
    author      = {Zilong Zhao and
                   Robert Birke and
                   Lydia Y. Chen},
    title       = {TabuLa: Harnessing Language Models for Tabular Data Synthesis},
    booktitle   = {Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, {PAKDD} 2025},
    series      = {Lecture Notes in Computer Science},
    publisher   = {Springer},
    year        = {2025},
    doi         = {10.1007/978-981-96-8186-0\_20}
}

Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning

Aditya Shankar, Jรฉrรฉmie Decouchant Decouchant, Dimitra Gkorou, Rihan Hai, Lydia Y. Chen

ARES 2025: ๐Ÿ“„ Paper | ๐Ÿ’ป Code

Citation
@inproceedings{shankar2025stv,
    author      = {Aditya Shankar and
                   Jรฉrรฉmie Decouchant and
                   Dimitra Gkorou and
                   Rihan Hai and
                   Lydia Y. Chen},
    title       = {Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning},
    booktitle   = {Proceedings of the 19th International Conference on Availability, Reliability and Security, {ARES} 2025},
    publisher   = ,
    year        = {2025}
}

SkipPipe: Partial and Reordered Pipelining Framework for Training LLMs in Heterogeneous Networks

Nikolay Blagoev, Lydia Y. Chen, OฤŸuzhan Ersoy

๐Ÿ“„ Paper | ๐Ÿ’ป Code

Citation
@inproceedings{blagoev2025skippipe,
    author  = {Nikolay Blagoev and
                Lydia Yiyu Chen and
                Oguzhan Ersoy},
    title   = {SkipPipe: Partial and Reordered Pipelining Framework for Training LLMs in Heterogeneous Networks},
    journal = {CoRR},
    volume  = {abs/2502.19913},
    year    = {2025}
}

LeadFL: Client Self-Defense against Model Poisoning in Federated Learning

Chaoyi Zhu, Stefanie Roos, Lydia Y. Chen

ICML 2023: ๐Ÿ“„ Paper | ๐Ÿ’ป Code | ๐Ÿ–ผ๏ธ Poster

Citation
@inproceedings{zhu2023leadfl,
    author      = {Chaoyi Zhu and
                   Stefanie Roos and
                   Lydia Y. Chen},
    title       = {LeadFL: Client Self-Defense against Model Poisoning in Federated Learning},
    booktitle   = {International Conference on Machine Learning, {ICML} 2023},
    series      = {Proceedings of Machine Learning Research},
    publisher   = ,
    year        = {2023}
}

Gradient Inversion of Federated Diffusion Models

Jiyue Huang, Chi Hong, Stefanie Roos and Lydia Y. Chen

ARES 2025: ๐Ÿ“„ Paper | ๐Ÿ’ป Code

Citation
@inproceedings{huang2025gidm,
    author      = {Jiyue Huang and
                   Chi Hong and
                   Stefanie Ross and
                   Lydia Y. Chen},
    title       = {Gradient Inversion of Federated Diffusion Models},
    booktitle   = {Proceedings of the 19th International Conference on Availability, Reliability and Security, {ARES} 2025},
    publisher   = ,
    year        = {2025}
}

On Quantifying the Gradient Inversion Risk of Data Reuse in Federated Learning Systems

Jiyue Huang, Lydia Y. Chen, Stefanie Roos

SRDS 2024: ๐Ÿ“„ Paper | ๐Ÿ’ป Code

Citation
@inproceedings{huang2024cgi,
    author      = {Jiyue Huang and
                   Lydia Y. Chen and
                   Stefanie Roos},
    title       = {On Quantifying the Gradient Inversion Risk of Data Reuse in Federated Learning Systems},
    booktitle   = {43rd International Symposium on Reliable Distributed Systems, {SRDS} 2024},
    publisher   = {IEEE},
    year        = {2024},
    doi         = {10.1109/SRDS64841.2024.00031}
}

Fabricated Flips: Poisoning Federated Learning without Data

Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos

DSN 2023: ๐Ÿ“„ Paper | ๐Ÿ’ป Code

Citation
@inproceedings{huang2024dfa,
    author      = {Jiyue Huang and
                   Zilong Zhao and
                   Lydia Y. Chen and
                   Stefanie Roos},
    title       = {Fabricated Flips: Poisoning Federated Learning without Data},
    booktitle   = {53rd Annual {IEEE/IFIP} International Conference on Dependable Systems and Network, {DSN} 2023},
    publisher   = ,
    year        = {2023},
    doi         = {10.1109/DSN58367.2023.00036}
}

CTAB-GAN: Effective Table Data Synthesizing

Zilong Zhao, Aditya Kunar, Hiek Van der Scheer, Robert Birke, Lydia Y. Chen

ACML 2021: ๐Ÿ“„ Paper | ๐Ÿ’ป Code

Citation
@inproceedings{zhao2021ctabgan,
    author      = {Zilong Zhao and
                   Aditya Kunar and
                   Robert Birke and
                   Lydia Y. Chen},
    title       = {CTAB-GAN: Effective Table Data Synthesizing},
    booktitle   = {Asian Conference on Machine Learning, {ACML} 2021},
    series      = {Proceedings of Machine Learning Research},
    publisher   = ,
    year        = {2021}
}