3 papers
cs.CR2026
Beyond Semantic Narrowing: Robust and Efficient LLM Watermarking with Hamming Neighborhoods
Zewen Sun, Tongyang Zhao, Liyao Xiang +3
Semantic watermarking improves robustness against watermark removal attacks by embedding detectable signals into sentence-level representations. However, existing watermarking meth…
cs.LG2025
FedTopo: Topology-Informed Representation Alignment in Federated Learning under Non-I.I.D. Conditions
Ke Hu, Liyao Xiang, Peng Tang +1
Current federated-learning models deteriorate under heterogeneous (non-I.I.D.) client data, as their feature representations diverge and pixel- or patch-level objectives fail to ca…
cs.CR2025
PVMark: Enabling Public Verifiability for LLM Watermarking Schemes
Haohua Duan, Liyao Xiang, Xin Zhang
Watermarking schemes for large language models (LLMs) have been proposed to identify the source of the generated text, mitigating the potential threats emerged from model theft. Ho…