2 papers
cs.CR2026
Beyond Direct Identifiers: Probabilistic Privacy Risk Estimation for Privacy-Conscious LLM Query Delegation
Li Siyan, Zhou Yu, Julia Hirschberg
Recent work on protecting privacy during user-LLM interactions often focuses on direct, explicit identifiers: the personally-identifiable information (PII) captured by standard det…
cs.LG2025
FedRE: Robust and Effective Federated Learning with Privacy Preference
Tianzhe Xiao, Yichen Li, Yu Zhou +6
Despite Federated Learning (FL) employing gradient aggregation at the server for distributed training to prevent the privacy leakage of raw data, private information can still be d…