1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2026
A Hamiltonian-Inspired Local-Operator Ansatz for Slimming Large Language Models
Ying Lu, Peng-Fei Zhou, Qi-Xuan Fang +3
Dense linear maps carry much of the parameter and computational burden of modern neural networks, yet their dense form leaves the organization of learned couplings implicit. Quantu…
cs.CR2025★ 1 cited
Rethinking Membership Inference Attacks Against Transfer Learning
Cong Wu, Jing Chen, Qianru Fang +6
Transfer learning, successful in knowledge translation across related tasks, faces a substantial privacy threat from membership inference attacks (MIAs). These attacks, despite pos…