Marco Di Gennaro
@marcodige.bsky.social
PhD Student @PoliMi, Security & Privacy of Machine and Federated Learning Researcher, 26, Italy.
This research was developed at the NECSTLab (Politecnico di Milano), in the context of the TRUSTroke project, in collaboration with my co-authors: Giovanni De Lucia, Stefano Longari, @raistolo.bsky.social , and @johnmc88.bsky.social.
June 16, 2025 at 10:02 AM
This research was developed at the NECSTLab (Politecnico di Milano), in the context of the TRUSTroke project, in collaboration with my co-authors: Giovanni De Lucia, Stefano Longari, @raistolo.bsky.social , and @johnmc88.bsky.social.
We found that federated tree-based models (like XGBoost) are vulnerable to dataset reconstruction attacks, and we demonstrated this vulnerability across major FL frameworks. Our work introduces a novel attack and provides guidelines for building stronger defenses.
June 16, 2025 at 9:55 AM
We found that federated tree-based models (like XGBoost) are vulnerable to dataset reconstruction attacks, and we demonstrated this vulnerability across major FL frameworks. Our work introduces a novel attack and provides guidelines for building stronger defenses.
🚨 Our PoPETS 2025 work, "TimberStrike," finds that federated tree models are vulnerable to privacy leakage via dataset reconstruction.
See you in Washington D.C. in July!
📄 Preprint: www.arxiv.org/abs/2506.07605
#FederatedLearning #Privacy #PoPETS
See you in Washington D.C. in July!
📄 Preprint: www.arxiv.org/abs/2506.07605
#FederatedLearning #Privacy #PoPETS
TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems
Federated Learning has emerged as a privacy-oriented alternative to centralized Machine Learning, enabling collaborative model training without direct data sharing. While extensively studied for neura...
www.arxiv.org
June 16, 2025 at 9:50 AM
🚨 Our PoPETS 2025 work, "TimberStrike," finds that federated tree models are vulnerable to privacy leakage via dataset reconstruction.
See you in Washington D.C. in July!
📄 Preprint: www.arxiv.org/abs/2506.07605
#FederatedLearning #Privacy #PoPETS
See you in Washington D.C. in July!
📄 Preprint: www.arxiv.org/abs/2506.07605
#FederatedLearning #Privacy #PoPETS