Solving Data Trading Dilemma with Asymmetric Incomplete Information Using Zero-Determinant Strategy. - Korn Sooksatra; Wei Li 059; Bo Mei; Arwa Alrawais; Shengling Wang 001; Jiguo Yu (WASA, 2018)

Fairness-Aware Auction Mechanism for Sustainable Mobile Crowdsensing. - Korn Sooksatra; Ruinian Li; Yingshu Li; Xin Guan 003; Wei Li 059 (WASA, 2019)

On the Practical Uses of Experimental Adversarial Neural Cryptography. - Korn Sooksatra; Pablo Rivas 001 (CSCI, 2021)

Adversarial Training Negatively Affects Fairness. - Korn Sooksatra; Pablo Rivas 001 (CSCI, 2021)

Evaluating Accuracy and Adversarial Robustness of Quanvolutional Neural Networks. - Korn Sooksatra; Pablo Rivas 001; Javier Orduz (CSCI, 2021)

An Adversarial Neural Cryptography Approach to Integrity Checking: Learning to Secure Data Communications. - Korn Sooksatra; Pablo Rivas 001 (IJCNN, 2021)

Enhancing Adversarial Examples on Deep Q Networks with Previous Information. - Korn Sooksatra; Pablo Rivas 001 (SSCI, 2021)

Monolith to Microservices: VAE-Based GNN Approach with Duplication Consideration. - Korn Sooksatra; Rokin Maharjan; Tomás Cerný (SOSE, 2022)

Evaluation of adversarial attacks sensitivity of classifiers with occluded input data. - Korn Sooksatra; Pablo Rivas 001 (Neural Comput. Appl., 2022)

Evaluating Robustness of Reconstruction Models with Adversarial Networks. - Korn Sooksatra; Gissella Bejarano; Pablo Rivas 001 (INNS DLIA@IJCNN, 2023)

A Multi-variant Benchmark for Microservice Systems in Software Engineering Research. - Tomás Cerný; Md Showkat Hossain Chy; Muhmmad Ashfakur Rahman Arju; Korn Sooksatra; Amr S. Abdelfattah; Valentina Lenarduzzi (ECSA (Tracks and Workshops), 2024)

Resilient Word-Embedding Alignment for BERT with Character-Based Layer in Noisy Environments. - Korn Sooksatra; Alejandro Rodríguez Pérez; Pablo Rivas 001 (IJCNN, 2024)

Using Static Analysis to Aid Monolith to Microservice System Transformation: Tuning Fuzzy c-Means in a VAE-Based GNN Approach. - Korn Sooksatra; Md Showkat Hossain Chy; Muhmmad Ashfakur Rahman Arju; Tomás Cerný; Pablo Rivas 001 (ASE Workshops, 2024)

Legal Natural Language Processing From 2015 to 2022: A Comprehensive Systematic Mapping Study of Advances and Applications. - Ernesto Quevedo; Tomás Cerný; Alejandro Rodriguez; Pablo Rivas 001; Jorge Yero; Korn Sooksatra; Alibek Zhakubayev; Davide Taibi 001 (IEEE Access, 2024)

Is ReLU Adversarially Robust? - Korn Sooksatra; Greg Hamerly; Pablo Rivas 001 (CoRR, 2024)

On Adversarial Examples for Text Classification by Perturbing Latent Representations. - Korn Sooksatra; Bikram Khanal; Pablo Rivas 001 (CoRR, 2024)

Efficacy of ByT5 in Multilingual Translation of Biblical Texts for Underrepresented Languages. - Corinne Aars; Lauren Adams; Xiaokan Tian; Zhaoyu Wang; Colton Wismer; Jason Wu; Pablo Rivas 001; Korn Sooksatra; Matthew Fendt (CoRR, 2024)

Generalization Error Bound for Quantum Machine Learning in NISQ Era - A Survey. - Bikram Khanal; Pablo Rivas 001; Arun Sanjel; Korn Sooksatra; Ernesto Quevedo; Alejandro Rodríguez Pérez (CoRR, 2024)

Benchmarking Micro2Micro transformation: an approach with GNN and VAE. - Md Showkat Hossain Chy; Korn Sooksatra; Jorge Yero; Tomás Cerný (Clust. Comput., 2024)

Generalization error bound for quantum machine learning in NISQ era - a survey. - Bikram Khanal; Pablo Rivas 001; Arun Sanjel; Korn Sooksatra; Ernesto Quevedo; Alejandro Rodriguez (Quantum Mach. Intell., 2024)