TabWak: A Watermark for Tabular Diffusion Models
Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen
ICLR 2025 (๐ Spotlight): ๐ Paper | ๐ป Code | ๐ผ๏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: ๐ Paper | ๐ป 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
๐ Paper | ๐ป 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 Mฤlan, Thiago Guzella, Jรฉrรฉmie Decouchant, Lydia Y. Chen
FC 2025: ๐ Paper | ๐ป Code
Citation
@inproceedings{malan2025ccbnet, author = {Abele Mฤlan 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: ๐ Paper | ๐ป 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: ๐ Paper | ๐ป 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 Mฤlan, Lydia Y. Chen
ECML 2025: ๐ Paper | ๐ป Code
Citation
@inproceedings{soi2025fedtdd, author = {Zhi Wen Soi and Chenrui Fan and Aditya Shankar and Abele Mฤlan 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: ๐ Paper | ๐ป 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: ๐ Paper | ๐ป 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, Oฤuzhan Ersoy
๐ Paper | ๐ป Code
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@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: ๐ Paper | ๐ป Code | ๐ผ๏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: ๐ Paper | ๐ป 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: ๐ Paper | ๐ป 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: ๐ Paper | ๐ป 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: ๐ Paper | ๐ป Code
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@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} }