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cs.LG2025
Differentially Private In-Context Learning with Nearest Neighbor Search
Antti Koskela, Tejas Kulkarni, Laith Zumot
Differentially private in-context learning (DP-ICL) has recently become an active research topic due to the inherent privacy risks of in-context learning. However, existing approac…
cs.LG2025
Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models
Antti Koskela, Tejas Kulkarni
Achieving differential privacy (DP) guarantees in fully decentralized machine learning is challenging due to the absence of a central aggregator and varying trust assumptions among…