no code implementations • LREC 2022 • Danushka Bollegala, Tomoya Machide, Ken-ichi Kawarabayashi
Our experimental results show that the proposed method can accurately reconstruct the search results for user queries, without compromising the privacy of the search engine users.
no code implementations • 19 Sep 2023 • Danushka Bollegala, Shuichi Otake, Tomoya Machide, Ken-ichi Kawarabayashi
We propose a Neighbourhood-Aware Differential Privacy (NADP) mechanism considering the neighbourhood of a word in a pretrained static word embedding space to determine the minimal amount of noise required to guarantee a specified privacy level.
no code implementations • 12 Sep 2019 • Danushka Bollegala, Tomoya Machide, Ken-ichi Kawarabayashi
Our experimental results show that the proposed method can accurately reconstruct the search results for user queries, without compromising the privacy of the search engine users.