Seng Pei Liew

According to our database, Seng Pei Liew authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Federated Graph Analytics with Differential Privacy.

Shang Liu, Yang Cao, Takao Murakami, Weiran Liu, Seng Pei Liew, Tsubasa Takahashi, Jinfei Liu, Masatoshi Yoshikawa

CoRR, 2024

Estimating Visited Stores Through Positive-Unlabeled Learning.

Ryo Shirai, Ryo Imai, Seng Pei Liew, Daichi Amagata, Tsubasa Takahashi, Takahiro Hara

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Scaling Private Deep Learning with Low-rank and Sparse Gradients.

Ryuichi Ito, Seng Pei Liew, Tsubasa Takahashi, Yuya Sasaki, Makoto Onizuka

J. Inf. Process., 2023

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

Proc. VLDB Endow., 2022

Shuffle Gaussian Mechanism for Differential Privacy.

Seng Pei Liew, Tsubasa Takahashi

CoRR, 2022

Measuring Lower Bounds of Local Differential Privacy via Adversary Instantiations in Federated Learning.

Marin Matsumoto, Tsubasa Takahashi, Seng Pei Liew, Masato Oguchi

CoRR, 2022

Shuffled Check-in: Privacy Amplification towards Practical Distributed Learning.

Seng Pei Liew, Satoshi Hasegawa, Tsubasa Takahashi

CoRR, 2022

Network Shuffling: Privacy Amplification via Random Walks.

Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning.

Seng Pei Liew, Tsubasa Takahashi, Michihiko Ueno

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider.

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

CoRR, 2021

Universal Adversarial Spoofing Attacks against Face Recognition.

Takuma Amada, Seng Pei Liew, Kazuya Kakizaki, Toshinori Araki

Proceedings of the International IEEE Joint Conference on Biometrics, 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

Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021) co-located with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021

2020

FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries.

Seng Pei Liew, Tsubasa Takahashi

CoRR, 2020

Secure IoT Device Architecture Using TrustZone.

Takayuki Sasaki, Koki Tomita, Yuto Hayaki, Seng Pei Liew, Norio Yamagaki

Proceedings of the 2020 IEEE International Conference on Sensing, 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

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Detecting Adversary using Windows Digital Artifacts.

Seng Pei Liew, Satoshi Ikeda

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019