Seng Pei Liew

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Differential Privacy

Feature Extractors

Distributed Learning

Relational Data

Top Venues

SECON Workshops

Proc. VLDB Endow.

Publications

Shang Liu, Yang Cao, Takao Murakami, Weiran Liu, Seng Pei Liew, Tsubasa Takahashi, Jinfei Liu, Masatoshi Yoshikawa
Federated Graph Analytics with Differential Privacy. CoRR (2024)
Ryuichi Ito, Seng Pei Liew, Tsubasa Takahashi, Yuya Sasaki, Makoto Onizuka
Scaling Private Deep Learning with Low-rank and Sparse Gradients. J. Inf. Process. 31 (2023)
Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Network Shuffling: Privacy Amplification via Random Walks. CoRR (2022)
Seng Pei Liew, Satoshi Hasegawa, Tsubasa Takahashi
Shuffled Check-in: Privacy Amplification towards Practical Distributed Learning. CoRR (2022)
Seng Pei Liew, Tsubasa Takahashi, Michihiko Ueno
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning. ICLR (2022)
Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Network Shuffling: Privacy Amplification via Random Walks. SIGMOD Conference (2022)
Seng Pei Liew, Tsubasa Takahashi
Shuffle Gaussian Mechanism for Differential Privacy. CoRR (2022)
Ryuichi Ito, Seng Pei Liew, Tsubasa Takahashi, Yuya Sasaki, Makoto Onizuka
Scaling Private Deep Learning with Low-Rank and Sparse Gradients. CoRR (2022)
Marin Matsumoto, Tsubasa Takahashi, Seng Pei Liew, Masato Oguchi
Measuring Lower Bounds of Local Differential Privacy via Adversary Instantiations in Federated Learning. CoRR (2022)
Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi, Yang Cao, Seng Pei Liew, Masatoshi Yoshikawa
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data. CoRR (2022)
Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi, Yang Cao, Seng Pei Liew, Masatoshi Yoshikawa
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data. Proc. VLDB Endow. 15 (9) (2022)
Takuma Amada, Seng Pei Liew, Kazuya Kakizaki, Toshinori Araki
Universal Adversarial Spoofing Attacks against Face Recognition. IJCB (2021)
Takuma Amada, Seng Pei Liew, Kazuya Kakizaki, Toshinori Araki
Universal Adversarial Spoofing Attacks against Face Recognition. CoRR (2021)
Takuma Amada, Kazuya Kakizaki, Seng Pei Liew, Toshinori Araki, Joseph Keshet, Jun Furukawa
Adversarial Robustness for Face Recognition: How to Introduce Ensemble Diversity among Feature Extractors? SafeAI@AAAI (2021)
Anna Stakia, Tommaso Dorigo, Giovanni Banelli, Daniela Bortoletto, Alessandro Casa, Pablo de Castro, Christophe Delaere, Julien Donini, Livio Finos, Michele Gallinaro, Andrea Giammanco, Alexander Held, Fabricio Jiménez Morales, Grzegorz Kotkowski, Seng Pei Liew, Fabio Maltoni, Giovanna Menardi, Ioanna Papavergou, Alessia Saggio, Bruno Scarpa, Giles C. Strong, Cecilia Tosciri, João Varela, Pietro Vischia, Andreas Weiler
Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider. CoRR (2021)
Seng Pei Liew, Tsubasa Takahashi, Michihiko Ueno
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning. CoRR (2021)
Takayuki Sasaki, Koki Tomita, Yuto Hayaki, Seng Pei Liew, Norio Yamagaki
Secure IoT Device Architecture Using TrustZone. SECON Workshops (2020)
Kosuke Akimoto, Seng Pei Liew, Sakiko Mishima, Ryo Mizushima, Kong Aik Lee
POCO: A Voice Spoofing and Liveness Detection Corpus Based on Pop Noise. INTERSPEECH (2020)
Seng Pei Liew, Tsubasa Takahashi
FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries. CoRR (2020)
Seng Pei Liew, Satoshi Ikeda
Detecting Adversary using Windows Digital Artifacts. IEEE BigData (2019)