3 papers
cs.LG2026
ARES: Scalable and Practical Gradient Inversion Attack in Federated Learning through Activation Recovery
Zirui Gong, Leo Yu Zhang, Yanjun Zhang +4
Federated Learning (FL) enables collaborative model training by sharing model updates instead of raw data, aiming to protect user privacy. However, recent studies reveal that these…
cs.LG2025
Certified but Fooled! Breaking Certified Defences with Ghost Certificates
Quoc Viet Vo, Tashreque M. Haq, Paul Montague +3
Certified defenses promise provable robustness guarantees. We study the malicious exploitation of probabilistic certification frameworks to better understand the limits of guarante…
cs.CR2025
Leaking Queries On Secure Stream Processing Systems
Hung Pham, Viet Vo, Tien Tuan Anh Dinh +2
Stream processing systems are important in modern applications in which data arrive continuously and need to be processed in real time. Because of their resource and scalability re…