Materialized View for Exploring High Dimensional Relational Data VLDB2022 Kato, Takahashi, Takagi, Cao, Liew, Yoshikawa Network Shuffling: Privacy Amplification via Random Walks SIGMOD2022 Liew, Takahashi, Takagi, Kato, Cao, Yoshikawa PEARL: Private Embeddings and Adversarial Reconstruction Learning ICLR2022 Liew, Takahashi, Ueno Construction of Differentially Private Summaries over Fully Homomorphic Encryption DEXA2021 Ushiyama, Takahashi, Kudo, Yamana P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model ICDE2021 Takagi, Takahashi, Cao, Yoshikawa Continuous and Gradual Style Changes of Graphic Designs with Generative Model IUI2021 Ueno, Sato Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks BigData2019 Takahashi Disentangling Clustered Representations of Variational Autoencoders for Generating Diverse Samples LDRC@IJCAI20 Takahashi, Komatsu, Yamada Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation TPDP@CCS20 Takahashi, Takagi, Ono, Komatsu Locally Private Distributed Reinforcement Learning FL-ICML@ICML20 Ono, Takahashi インターンの成果 トップカンファレンス 41