Differential Aggregation against General Colluding Attackers. (arXiv:2302.09315v1 [cs.CR])

Local Differential Privacy (LDP) is now widely adopted in large-scale systems
to collect and analyze sensitive data while preserving users' privacy. However,
almost all LDP protocols rely on a semi-trust model where users are
curious-but-honest, which rarely holds in real-world scenarios. Recent works
show poor estimation accuracy of many LDP protocols under malicious threat
models. Although a few works have proposed some countermeasures to address
these attacks, they all require prior knowledge of either the attacking pattern
or the poison …

accuracy address aggregation attackers attacks collect countermeasures data differential privacy general knowledge large local malicious poor privacy protocols scale sensitive data systems threat threat models trust under world