Seng Pei Liew - RankMe

30 papers A* 2A 1B 1Journal 21Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analysis of Shuffling Beyond Pure Local Differential Privacy. CoRR Shun Takagi, Seng Pei Liew
2026	J	`jnl`	Towards Principled Design of Mixture-of-Experts Language Models under Memory and Inference Constraints. CoRR Seng Pei Liew, Kenta Shinzato, Yuyang Dong
2025	J	`jnl`	Accelerating Differentially Private Federated Learning via Adaptive Extrapolation. CoRR Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa
2025	J	`jnl`	FedDuA: Doubly Adaptive Federated Learning. CoRR Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa
2025	J	`jnl`	From Acceleration to Saturation: Scaling Behavior of Bootstrapped Language Model Pretraining. CoRR Seng Pei Liew, Takuya Kato
2025	J	`jnl`	Optimal Variance and Covariance Estimation under Differential Privacy in the Add-Remove Model and Beyond. CoRR Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa
2025	A*	`conf`	Scaling Laws for Upcycling Mixture-of-Experts Language Models. ICML Seng Pei Liew, Takuya Kato, Sho Takase
2025	J	`jnl`	Scaling Laws for Upcycling Mixture-of-Experts Language Models. CoRR Seng Pei Liew, Takuya Kato, Sho Takase
2024	—	`conf`	Estimating Visited Stores Through Positive-Unlabeled Learning. DASFAA (7) Ryo Shirai, Ryo Imai, Seng Pei Liew, Daichi Amagata, Tsubasa Takahashi, Takahiro Hara
2024	J	`jnl`	Federated Graph Analytics with Differential Privacy. CoRR Shang Liu, Yang Cao, Takao Murakami, Weiran Liu, Seng Pei Liew, Tsubasa Takahashi, Jinfei Liu, Masatoshi Yoshikawa
2024	J	`jnl`	Measuring Local and Shuffled Privacy of Gradient Randomized Response. J. Inf. Process. Marin Matsumoto, Tsubasa Takahashi, Seng Pei Liew, Masato Oguchi
2023	J	`jnl`	Scaling Private Deep Learning with Low-rank and Sparse Gradients. J. Inf. Process. Ryuichi Ito, Seng Pei Liew, Tsubasa Takahashi, Yuya Sasaki, Makoto Onizuka
2022	J	`jnl`	HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data. CoRR Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi, Yang Cao, Seng Pei Liew, Masatoshi Yoshikawa
2022	J	`jnl`	HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data. Proc. VLDB Endow. Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi, Yang Cao, Seng Pei Liew, Masatoshi Yoshikawa
2022	J	`jnl`	Measuring Lower Bounds of Local Differential Privacy via Adversary Instantiations in Federated Learning. CoRR Marin Matsumoto, Tsubasa Takahashi, Seng Pei Liew, Masato Oguchi
2022	—	`conf`	Network Shuffling: Privacy Amplification via Random Walks. SIGMOD Conference Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2022	J	`jnl`	Network Shuffling: Privacy Amplification via Random Walks. CoRR Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2022	A*	`conf`	PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning. ICLR Seng Pei Liew, Tsubasa Takahashi, Michihiko Ueno
2022	J	`jnl`	Scaling Private Deep Learning with Low-Rank and Sparse Gradients. CoRR Ryuichi Ito, Seng Pei Liew, Tsubasa Takahashi, Yuya Sasaki, Makoto Onizuka
2022	J	`jnl`	Shuffle Gaussian Mechanism for Differential Privacy. CoRR Seng Pei Liew, Tsubasa Takahashi
2022	J	`jnl`	Shuffled Check-in: Privacy Amplification towards Practical Distributed Learning. CoRR Seng Pei Liew, Satoshi Hasegawa, Tsubasa Takahashi
2021	J	`jnl`	Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider. CoRR 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
2021	—	`conf`	Adversarial Robustness for Face Recognition: How to Introduce Ensemble Diversity among Feature Extractors? SafeAI@AAAI Takuma Amada, Kazuya Kakizaki, Seng Pei Liew, Toshinori Araki, Joseph Keshet, Jun Furukawa
2021	J	`jnl`	PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning. CoRR Seng Pei Liew, Tsubasa Takahashi, Michihiko Ueno
2021	B	`conf`	Universal Adversarial Spoofing Attacks against Face Recognition. IJCB Takuma Amada, Seng Pei Liew, Kazuya Kakizaki, Toshinori Araki
2021	J	`jnl`	Universal Adversarial Spoofing Attacks against Face Recognition. CoRR Takuma Amada, Seng Pei Liew, Kazuya Kakizaki, Toshinori Araki
2020	J	`jnl`	FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries. CoRR Seng Pei Liew, Tsubasa Takahashi
2020	A	`conf`	POCO: A Voice Spoofing and Liveness Detection Corpus Based on Pop Noise. INTERSPEECH Kosuke Akimoto, Seng Pei Liew, Sakiko Mishima, Ryo Mizushima, Kong Aik Lee
2020	—	`conf`	Secure IoT Device Architecture Using TrustZone. SECON Workshops Takayuki Sasaki, Koki Tomita, Yuto Hayaki, Seng Pei Liew, Norio Yamagaki
2019	—	`conf`	Detecting Adversary using Windows Digital Artifacts. IEEE BigData Seng Pei Liew, Satoshi Ikeda