Lucien K. L. Ng's Page

About Me

I’m a Ph.D. student in Computer Science at Georgia Tech and a 2023 Croucher Scholar. I work on privacy-enhancing technologies, focusing on multi-party computation with applications to privacy-preserving machine learning and zero-knowledge proofs. I also study blockchain and cryptocurrency systems to improve efficiency, privacy, and usability.

My current advisor is Prof. Vladimir Kolesnikov. My M.Phil. research at the Chinese University of Hong Kong was supervised by Prof. Sherman S. M. Chow.

Selected Publications

Sort, Sweep, Mirror: Batch Private Interval Lookup with Logarithmic Cost
Andes Y. L. Kei, Lucien K. L. Ng, Jack P. K. Ma, Sherman S. M. Chow

IEEE S&P 2026 (Acceptance rate: 13%)
Lite-PoT: Practical Powers-of-Tau Setup Ceremony
Lucien K. L. Ng, Pedro Moreno-Sanchez, Mohsen Minaei, Panagiotis Chatzigiannis, Adithya Bhat, Duc V. Le

ACM CCS 2025
Full Version
Toss: Garbled PIR from Table-Only Stacking
Lucien K. L. Ng, Vladimir Kolesnikov

ACM CCS 2025
Full Version
Batch anonymous MAC tokens from lattices
Yingfei Yan, Sherman S. M. Chow, Lucien K. L. Ng, Harry W. H. Wong, Yongjun Zhao, Baocang Wang

PQCrypto 2025
Paper
A Plug-and-Play Long-Range Defense System for Proof-of-Stake Blockchains
Lucien K. L. Ng, Panagiotis Chatzigiannis, Duc V. Le, Mohsen Minaei, Ranjit Kumaresan, Mahdi Zamani

ESORICS 2024
Full Version Slides
Garbled Circuit Lookup Tables with Logarithmic Number of Ciphertexts
David Heath, Vladimir Kolesnikov, Lucien K. L. Ng (Lead Author)

*Alphabetical Order

EUROCRYPT 2024
Full Version Slides
SoK: Cryptographic Neural-Network Computation
Lucien K. L. Ng, Sherman S. M. Chow

IEEE S&P 2023
Slides Video Full Version
LDSP: Shopping with Cryptocurrency Privately and Quickly under Leadership
Lucien K. L. Ng, Sherman S. M. Chow, Donald P. H. Wong, Anna P. Y. Woo

ICDCS 2021 (Acceptance rate: 19.8%)
Slides Video
GForce: GPU-Friendly Oblivious and Rapid Neural Network Inference
Lucien K. L. Ng, Sherman S. M. Chow

Usenix Security 2021 (Acceptance rate: 18.8%)
Paper Slides Video Code
Goten: GPU-Outsourcing Trusted Execution of Neural Network Training
Lucien K. L. Ng, Sherman S. M. Chow, Anna P. Y. Woo, Donald P. H. Wong, Yongjun Zhao

AAAI 2021 (Acceptance rate: 21.3% = 1692/7911)
Paper Slides Video Code Poster

Academic Service

Academic Reviewer:
- 2024: Eurocrypt, Crypto, Usenix Security, NDSS, PETS, TIFS, PKC
- 2023: Usenix Security, CANS
- 2022: WWW, Usenix Security
- 2021: ICDCS, Usenix Security, The Web, AsiaCCS, ICICS
- 2020: CANS
- 2019: ESORICS, AfricaCrypt, The Web, ACNS, Crypto, CNS

Tutoring on Undergraduate Research Projects

Secure DNN Training and Inference with Intel SGX @ CUHK
- Anna P. Y. Woo (MIE-Elite → Ph.D. in CS @ UMich), Undergraduate Summer Research Intern, 2018/19
- Best Project Award!
Deep Neural Network in Secure Linux Container with Trusted Processor @ CUHK
- Gary Chow, Donald P. H. Wong, Final Year Project, 2018/19
- Best Final Year Project Awards!