Marco Di Gennaro
@marcodige.bsky.social
PhD Student @PoliMi, Security & Privacy of Machine and Federated Learning Researcher, 26, Italy.
🚨 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