14 papers
Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning
Li Xia, Jing Yu, Zheng Liu +3
Federated learning enables distributed information sharing and collaborative model training without exposing raw client data. However, shared gradients or model updates may still c…
A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model
Tianxiu Xie, Keke Gai, Jing Yu +1
Recent booming development of Generative Artificial Intelligence (GenAI) has facilitated model commercialization to reinforce the model performance, including licensing or trading…
ALIEN: Analytic Latent Watermarking for Controllable Generation
Liangqi Lei, Keke Gai, Jing Yu +1
Watermarking is a technical alternative to safeguarding intellectual property and reducing misuse. Existing methods focus on optimizing watermarked latent variables to balance wate…
SLVC-DIDA: Signature-less Verifiable Credential-based Issuer-hiding and Multi-party Authentication for Decentralized Identity
Tianxiu Xie, Keke Gai, Jing Yu +2
As an emerging paradigm in digital identity, Decentralized Identity (DID) appears advantages over traditional identity management methods in a variety of aspects, e.g., enhancing u…
A Vision-Language Pre-training Model-Guided Approach for Mitigating Backdoor Attacks in Federated Learning
Keke Gai, Dongjue Wang, Jing Yu +2
Defending backdoor attacks in Federated Learning (FL) under heterogeneous client data distributions encounters limitations balancing effectiveness and privacy-preserving, while mos…
Watermarking Visual Concepts for Diffusion Models
Liangqi Lei, Keke Gai, Jing Yu +2
The personalization techniques of diffusion models succeed in generating images with specific concepts. This ability also poses great threats to copyright protection and network se…