3 citations · 6 across the 12 of their papers we have counts for
12 papers
Blockchain Empowered Trustworthy Agent Networks: Foundations, Taxonomy, and Future Directions
Liehuang Zhu, Yuhang Li, Tianxing Wang +7
AI agents are evolving from isolated task executors into networked autonomous entities that can communicate, delegate tasks, invoke tools, access external knowledge, and participat…
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…
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation
Keke Gai, Haochen Liang, Jing Yu +2
Smart contracts play a pivotal role in blockchain ecosystems, and fuzzing remains an important approach to securing smart contracts. Even though mutation scheduling is a key factor…
AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright Protection
Jianbo Gao, Keke Gai, Jing Yu +2
Recent advancement in large-scale Artificial Intelligence (AI) models offering multimodal services have become foundational in AI systems, making them prime targets for model theft…
PCDiff: Proactive Control for Ownership Protection in Diffusion Models with Watermark Compatibility
Keke Gai, Ziyue Shen, Jing Yu +2
With the growing demand for protecting the intellectual property (IP) of text-to-image diffusion models, we propose PCDiff -- a proactive access control framework that redefines mo…
Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios
Liangqi Lei, Keke Gai, Jing Yu +2
Latent diffusion models have exhibited considerable potential in generative tasks. Watermarking is considered to be an alternative to safeguard the copyright of generative models a…