Korn Sooksatra

Orcid: 0000-0003-4521-2237

According to our database1, Korn Sooksatra authored at least 20 papers between 2018 and 2024.

Collaborative distances:

Timeline

2018
2019
2020
2021
2022
2023
2024
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5
10
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Links

On csauthors.net:

Bibliography

2024
Generalization error bound for quantum machine learning in NISQ era - a survey.
Quantum Mach. Intell., December, 2024

Benchmarking Micro2Micro transformation: an approach with GNN and VAE.
Clust. Comput., July, 2024

Generalization Error Bound for Quantum Machine Learning in NISQ Era - A Survey.
CoRR, 2024

Efficacy of ByT5 in Multilingual Translation of Biblical Texts for Underrepresented Languages.
CoRR, 2024

On Adversarial Examples for Text Classification by Perturbing Latent Representations.
CoRR, 2024

Is ReLU Adversarially Robust?
CoRR, 2024

Legal Natural Language Processing From 2015 to 2022: A Comprehensive Systematic Mapping Study of Advances and Applications.
IEEE Access, 2024

Using Static Analysis to Aid Monolith to Microservice System Transformation: Tuning Fuzzy c-Means in a VAE-Based GNN Approach.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2024

Resilient Word-Embedding Alignment for BERT with Character-Based Layer in Noisy Environments.
Proceedings of the International Joint Conference on Neural Networks, 2024

A Multi-variant Benchmark for Microservice Systems in Software Engineering Research.
Proceedings of the Software Architecture. ECSA 2024 Tracks and Workshops, 2024

2023
Evaluating Robustness of Reconstruction Models with Adversarial Networks.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

2022
Evaluation of adversarial attacks sensitivity of classifiers with occluded input data.
Neural Comput. Appl., 2022

Monolith to Microservices: VAE-Based GNN Approach with Duplication Consideration.
Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2022

2021
Enhancing Adversarial Examples on Deep Q Networks with Previous Information.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

An Adversarial Neural Cryptography Approach to Integrity Checking: Learning to Secure Data Communications.
Proceedings of the International Joint Conference on Neural Networks, 2021

Evaluating Accuracy and Adversarial Robustness of Quanvolutional Neural Networks.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

Adversarial Training Negatively Affects Fairness.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

On the Practical Uses of Experimental Adversarial Neural Cryptography.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

2019
Fairness-Aware Auction Mechanism for Sustainable Mobile Crowdsensing.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2019

2018
Solving Data Trading Dilemma with Asymmetric Incomplete Information Using Zero-Determinant Strategy.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2018


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