Publications

Google Scholar ORCID dblp Semantic Scholar

International Conference Papers

2022

HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data

Fumiyuki Kato , Tsubasa Takahashi , Shun Takagi , Yang Cao , Seng Pei Liew , Masatoshi Yoshikawa
International Conference on Very Large Data Bases (VLDB), 2022.

Network Shuffling: Privacy Amplification via Random Walks

Seng Pei Liew , Tsubasa Takahashi , Shun Takagi , Fumiyuki Kato , Yang Cao , Masatoshi Yoshikawa
International Conference on Management of Data (SIGMOD), 2022.

PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning

Seng Pei Liew , Tsubasa Takahashi , Michihiko Ueno
International Conference on Learning Representations (ICLR), 2022.

2021

Universal Adversarial Spoofing Attacks against Face Recognition

Takuma Amada, Seng Pei Liew, Kazuya Kakizaki, Toshinori Araki
IEEE International Joint Conference on Biometrics (IJCB), 2021.

2020

POCO: A Voice Spoofing and Liveness Detection Corpus Based on Pop Noise

Kosuke Akimoto, Seng Pei Liew, Sakiko Mishima, Ryo Mizushima, Kong Aik Lee
INTERSPEECH, 2020.

International Journal Articles

2021

Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider

Anna Stakia and others
Reviews in Physics, 2021.

2018

Light axinos from freeze-in: production processes, phase space distributions, and Ly-α forest constraints

Kyu Jung Bae, Ayuki Kamada, Seng Pei Liew , Keisuke Yanagi
Journal of Cosmology and Astroparticle Physics (JCAP), 2018.

Colder Freeze-in Axinos Decaying into Photons

Kyu Jung Bae, Ayuki Kamada, Seng Pei Liew , Keisuke Yanagi
Physical Review D (PRD), 2018.

2017

Effects of QCD bound states on dark matter relic abundance

Seng Pei Liew , Feng Luo
Journal of High Energy Physics (JHEP), 2017.

International Workshop Papers

2021

Adversarial Robustness for Face Recognition: How to Introduce Ensemble Diversity among Feature Extractors?

Takuma Amada, Kazuya Kakizaki, Seng Pei Liew, Toshinori Araki, Joseph Keshet, Jun Furukawa
SafeAI@ AAAI, 2021.