Chi Hong, Jiyue Huang, Lydia Chen, Robert Birke (2025), Adversarial Knowledge Extraction via Steering Diffusion Models, Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer (Eds.), In Neural Information Processing - 31st International Conference, ICONIP 2024, Proceedings p.336-350, Springer.

Marcel Gregoriadis, Jingwei Kang, Johan Pouwelse (2025), A Large-Scale Web Search Dataset for Federated Online Learning to Rank, M.D. Jones, C. Lallemand, A. Karahanoğlu, A. Rapp, R. van den Heuvel, A. Balasubramaniam, J. Dawson (Eds.), In CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management p.6387-6391, Association for Computing Machinery (ACM).

Giulio Segalini, Maria Fernandes, Jérémie Decouchant (2025), Byzantine-Resilient Federated Computation of Differentially Private Summary Statistics, In Middleware 2025 - Proceedings of the 26th ACM International Middleware Conference p.72-85, Association for Computing Machinery (ACM).

Marcus Schutte, Lucas van Mol, George Christodoulou, Asterios Katsifodimos (2025), Cascade: From Imperative Code to Stateful Dataflows, In DBPL '25: Proceedings of the 19th International Symposium on Database Programming Languages, Association for Computing Machinery (ACM).

Yiyu Chen, Jérémie Decouchant, A.M. Mălan (2025), Confidentiality-preserving collaborative model for deriving information on a production system.

Marcel Gregoriadis, Quinten Stokkink, Johan Pouwelse (2025), Decentralized Adaptive Ranking using Transformers, In EuroMLSys 2025 - Proceedings of the 2025 5th Workshop on Machine Learning and Systems p.12-18, Association for Computing Machinery (ACM).

Bart Cox, Antreas Ioannou, Jérémie Decouchant (2025), Dynamic Topology Optimization for Non-IID Data in Decentralized Learning, Cheng-Zhong Xu, Leong Hou U, Xueqi Cheng, Jing Gao, Giuseppe Polese, Hong Mei, Paul Boniol, Michiaki Tatsubori, More Editors (Eds.), In Proceedings - 2025 IEEE International Conference on Big Data, BigData 2025 p.3386-3395.

Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Song Guo, Lydia Y. Chen (2025), EdgeTA: Neuron-Grained Scaling of Foundation Models in Edge-Side Retraining, In IEEE Transactions on Mobile Computing Volume 24 p.2690-2707.

Yérom David Bromberg, Jérémie Decouchant, Manon Sourisseau, François Taïani (2025), Formalizing Rollback Netcodes for Robust and Real-Time Client-Server Architectures, Andrei Arusoaie , Emanuel Onica, Michael Spear, Sara Tucci-Piergiovanni (Eds.), In 29th International Conference on Principles of Distributed Systems, OPODIS 2025.

Jiyue Huang, Chi Hong, Stefanie Roos, Lydia Y. Chen (2025), GIDM: Gradient Inversion of Federated Diffusion Models, Mila Dalla Preda, Sebastian Schrittwieser, Vincent Naessens, Bjorn De Sutter (Eds.), In Availability, Reliability and Security - 20th International Conference, ARES 2025, Proceedings p.380-401, Springer.