On Data Distribution Leakage in Cross-Silo Federated Learning.
IEEE Trans. Knowl. Data Eng., July, 2024
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective.
IEEE Trans. Inf. Forensics Secur., 2024
Calibrating Noise for Group Privacy in Subsampled Mechanisms.
CoRR, 2024
Protecting Label Distribution in Cross-Silo Federated Learning.
Proceedings of the IEEE Symposium on Security and Privacy, 2024
A Parallel Simulation Framework Incorporating Machine Learning-Based Hotspot Detection for Accelerated Power Grid Analysis.
Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024
SPIRAL: Signal-Power Integrity Co-Analysis for High-Speed Inter-Chiplet Serial Links Validation.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024
Passive Inference Attacks on Split Learning via Adversarial Regularization.
CoRR, 2023
Feature Inference Attack on Shapley Values.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
Robust Size Estimation of Online Social Networks via Subgraph Sampling.
IEEE Trans. Netw. Sci. Eng., 2020
On the Detection of Shilling Attacks in Federated Collaborative Filtering.
Proceedings of the International Symposium on Reliable Distributed Systems, 2020