The-Anh Ta

The-Anh Ta

About me

Hello, my name is The-Anh Ta (Tạ Thế Anh in Vietnamese). I do research in Machine Learning (adaptiveness, robustness, efficiency) and Cryptography (digital signatures, secure computation, data privacy), and problems at the intersection of these areas. Link to my GoogleScholar page.

Since 8/2023, I work as a postdoc at CSIRO’s Data61, Marsfield, NSW, Australia. From 11/2022 until 5/2023, I was a researcher at the Information Security Division, KDDI Research Institute, Inc. in Saitama, Japan. From 05/2021 to 07/2023, I was an AI Scientist at AI Center, FPT Software, Ho Chi Minh City, Vietnam.

I obtained my PhD in Mathematics from the University of Paris-Saclay, Orsay, France on 09/2020 (Link to my thesis). Before moving to France in 2016, I did my undergraduate studies (BSc+MSc) in Mathematics at the Eotvos Lorand University in Budapest, Hungary from 2011 to 2016. I grew up in Vinh Phuc, Viet Nam.

Cryptography:

I work on digital signatures and secure computation.

Publications:

  1. Duy Tung Khanh Nguyen, Dung Hoang Duong, Willy Susilo, Yang-Wai Chow, The Anh Ta, HeFUN: Homomorphic Encryption for Unconstrained Secure Neural Network Inference, Future Internet, Volume 15, Issue 12, 12/2023.

  2. Thanh Xuan Khuc, Anh The Ta, Dung Hoang Duong, Willy Susilo, Fuchun Guo, Kazuhide Fukushima, Shinsaku Kiyomoto, Logarithmic-Size (Linkable) Ring Signatures From Lattice Isomorphism Problems, International Conference on Security, Privacy, and Applied Cryptography Engineering, 12/2023.

  3. Ngoc Tuong Nguyen, Anh The Ta, Huy Quoc Le, Dung Hoang Duong, Willy Susilo, Fuchun Guo, Kazuhide Fukushima, Shinsaku Kiyomoto, Efficient Unique Ring Signatures From Lattices, 27th European Symposium on Research in Computer Security (ESORICS), 09/2022.

Machine learning:

I am interested in adaptivity, robustness and efficiency problems.

Publications:

  1. Nam Phuong Tran, The Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh, Learning the Expected Core of Strictly Convex Stochastic Cooperative Games, preprint, arXiv:2402.07067

  2. Hoang Pham, The-Anh Ta, Shiwei Liu, Lichuan Xiang, Dung Le, Hongkai Wen, Long Tran-Thanh, Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?, Advances in Neural Information Processing Systems (NeurIPS), 12/2023.

  3. Minh Hieu Phan, The-Anh Ta, Son Lam Phung, Long Tran-Thanh, Abdesselam Bouzerdoum, Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 06/2022.

Mathematics:

  1. The-Anh Ta, On the distributions of quadratic residues and primitive roots over finite fields, Studia Scientiarum Mathematicarum Hungarica 54(4) (2017), 426–435.

  2. Wei-Guo Foo, Joel Merker, The-Anh Ta, Parametric CR-umbilical locus of ellipsoids in C2, Comptes Rendus Mathematique 356(2) (2018), 214-221.

  3. Zhangchi Chen, Wei-Guo Foo, Joel Merker, The-Anh Ta, Normal forms for rigid C21 hypersurfaces M5 in C3, Taiwanese Journal of Mathematics 25(2) (2021), 333-364.

  4. Wei-Guo Foo, Joel Merker, The-Anh Ta, Rigid equivalences of 5 dimensional 2 nondegenerate rigid real hypersurfaces M5 in C3 of constant Levi rank 1, Michigan Mathematical Journal, Advance Publication, 1-26, (2021).

  5. Joel Merker, The-Anh Ta, Degrees $d \geq \big( \sqrt{n}\, \log\, n\big)^n$ and $d \geq \big( n\, \log\, n\big)^n$ in the Conjectures of Green-Griffiths and of Kobayashi, Acta Mathematica Vietnamica, Volume 47, 305–358 (2022).

  6. Wei-Guo Foo, Joel Merker, The-Anh Ta, On Convergent Poincaré-Moser Reduction for Levi Degenerate Embedded 5-Dimensional CR Manifolds, New York Journal of Mathematics, Volume 28, (2022), 250-336.

  7. Zhangchi Chen, Wei Guo Foo, Joël Merker and The-Anh Ta, Lie-Cartan Differential Invariants and Poincaré-Moser Normal Forms: Confluences, Bulletin of the Institute of Mathematics Academia Sinica (2023).

Teaching:

  • CS330: Introduction to Artificial Intelligence, Spring 2022, Tan Tao University.
  • MATH210: Multivariable Calculus 2, Summer 2022, Tan Tao University.
  • Linear algebra for Machine learning, Fall 2022, FPT Software AI Residency program.