2 papers
cs.LG2026
AME: A Multi-Type Contributor Attribution Framework in Generative AI Markets
Yang Shi, Songwen Pei, Yang Gao +1
Generative AI enables value creation through multi-stage collaboration among heterogeneous contributors, including training data, base models, fine-tuning behaviors, and prompts. H…
cs.CR2026
Architecture-Agnostic Feature Synergy for Universal Defense Against Heterogeneous Generative Threats
Bingxue Zhang, Yang Gao, Feida Zhu +2
Generative AI deployment poses unprecedented challenges to content safety and privacy. However, existing defense mechanisms are often tailored to specific architectures (e.g., Diff…