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…
Vertical Federated Continual Learning via Evolving Prototype Knowledge
Shuo Wang, Keke Gai, Jing Yu +2
Vertical Federated Learning (VFL) has garnered significant attention as a privacy-preserving machine learning framework for sample-aligned feature federation. However, traditional…
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…
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…
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…
DiffuseTrace: A Transparent and Flexible Watermarking Scheme for Latent Diffusion Model
Liangqi Lei, Keke Gai, Jing Yu +1
Latent Diffusion Models (LDMs) enable a wide range of applications but raise ethical concerns regarding illegal utilization. Adding watermarks to generative model outputs is a vita…
Binary Linear Tree Commitment-based Ownership Protection for Distributed Machine Learning
Tianxiu Xie, Keke Gai, Jing Yu +1
Distributed machine learning enables parallel training of extensive datasets by delegating computing tasks across multiple workers. Despite the cost reduction benefits of distribut…