Towards locally differentially private generic graph metric estimation
Local differential privacy (LDP) is an emerging technique for privacy-preserving data
collection without a trusted collector. Despite its strong privacy guarantee, LDP cannot be …
collection without a trusted collector. Despite its strong privacy guarantee, LDP cannot be …
Towards locally differentially private generic graph metric estimation
Q Ye, H Hu, MH Au, X Meng, X Xiao - 2020 - ira.lib.polyu.edu.hk
Local differential privacy (LDP) is an emerging technique for privacy-preserving data
collection without a trusted collector. Despite its strong privacy guarantee, LDP cannot be …
collection without a trusted collector. Despite its strong privacy guarantee, LDP cannot be …
[引用][C] Towards Locally Differentially Private Generic Graph Metric Estimation
Q Ye, H Hu, MH Au, X Meng, X Xiao - 2020 IEEE 36th International …, 2020 - cir.nii.ac.jp
Towards Locally Differentially Private Generic Graph Metric Estimation | CiNii Research CiNii
国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
Towards Locally Differentially Private Generic Graph Metric Estimation
Q Ye, H Hu, MHA Au, X Meng… - 36th IEEE International …, 2020 - research.polyu.edu.hk
Local differential privacy (LDP) is an emerging technique for privacy-preserving data
collection without a trusted collector. Despite its strong privacy guarantee, LDP cannot be …
collection without a trusted collector. Despite its strong privacy guarantee, LDP cannot be …
[PDF][PDF] Towards Locally Differentially Private Generic Graph Metric Estimation
Q Ye, H Hu, MH Au, X Meng, X Xiao - drive.google.com
Local differential privacy (LDP) is an emerging technique for privacy-preserving data
collection without a trusted collector. Despite its strong privacy guarantee, LDP cannot be …
collection without a trusted collector. Despite its strong privacy guarantee, LDP cannot be …
Towards Locally Differentially Private Generic Graph Metric Estimation
Q Ye, H Hu, MH Au, X Meng, X Xiao - conferences.computer.org
Local differential privacy (LDP) is an emerging technique for privacy-preserving data
collection without a trusted collector. Despite its strong privacy guarantee, LDP cannot be …
collection without a trusted collector. Despite its strong privacy guarantee, LDP cannot be …
Towards Locally Differentially Private Generic Graph Metric Estimation
Q Ye, H Hu, MH Au, X Meng, X Xiao - 2020 IEEE 36th International …, 2020 - computer.org
Local differential privacy (LDP) is an emerging technique for privacy-preserving data
collection without a trusted collector. Despite its strong privacy guarantee, LDP cannot be …
collection without a trusted collector. Despite its strong privacy guarantee, LDP cannot be …