Jie Fu

SWD achieves high-fidelity circuit extraction with less than 1% of the data used by traditional methods, revolutionizing interpretability in pretrained transformers.

Circuit extraction claims can be misleading, as the perceived mechanisms behind model behavior are heavily influenced by how circuits are reported and compared.

Location-based services are vulnerable to privacy breaches, but a new differential privacy framework can safeguard kNN queries without losing utility.