| Solving data trading dilemma with asymmetric incomplete information using zero-determinant strategy K Sooksatra, W Li, B Mei, A Alrawais, S Wang, J Yu Wireless Algorithms, Systems, and Applications: 13th International …, 2018 | 17 | 2018 |
| A review of machine learning and cryptography applications K Sooksatra, P Rivas 2020 International Conference on Computational Science and Computational …, 2020 | 7 | 2020 |
| Fairness-aware auction mechanism for sustainable mobile crowdsensing K Sooksatra, R Li, Y Li, X Guan, W Li Wireless Algorithms, Systems, and Applications: 14th International …, 2019 | 7 | 2019 |
| Evaluation of adversarial attacks sensitivity of classifiers with occluded input data K Sooksatra, P Rivas Neural Computing and Applications 34 (20), 17615-17632, 2022 | 5 | 2022 |
| Evaluating accuracy and adversarial robustness of quanvolutional neural networks K Sooksatra, P Rivas, J Orduz 2021 International Conference on Computational Science and Computational …, 2021 | 5 | 2021 |
| Monolith to microservices: Vae-based gnn approach with duplication consideration K Sooksatra, R Maharjan, T Cerny 2022 IEEE International Conference on Service-Oriented System Engineering …, 2022 | 3 | 2022 |
| AI ethics for earth sciences P Rivas, C Thompson, B Tafur, B Khanal, O Ayoade, TD Jui, K Sooksatra, ... Artificial Intelligence in Earth Science, 379-396, 2023 | 2 | 2023 |
| Adversarial Training Negatively Affects Fairness K Sooksatra, P Rivas 2021 International Conference on Computational Science and Computational …, 2021 | 2 | 2021 |
| Legal Natural Language Processing from 2015-2022: A Comprehensive Systematic Mapping Study of Advances and Applications E Quevedo, T Cerny, A Rodriguez, P Rivas, J Yero, K Sooksatra, ... IEEE Access, 2023 | 1 | 2023 |
| An empirical analysis towards replacing vocabulary-rigid embeddings by a vocabulary-free mechanism AR Perez, K Sooksatra, P Rivas, EQ Caballero, JS Turek, G Bichler, ... LatinX in AI Workshop at ICML 2023 (Regular Deadline), 2023 | 1 | 2023 |
| On the Practical Uses of Experimental Adversarial Neural Cryptography K Sooksatra, P Rivas 2021 International Conference on Computational Science and Computational …, 2021 | 1 | 2021 |
| Enhancing adversarial examples on deep q networks with previous information K Sooksatra, P Rivas 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-07, 2021 | 1 | 2021 |
| Aligning Word Embeddings from BERT to Vocabulary-Free Representations AR Perez, K Sooksatra, P Rivas, E Quevedo, J Turek, G Bichler, T Cerny, ... 2023 Congress in Computer Science, Computer Engineering, & Applied Computing …, 2023 | | 2023 |
| Is ReLU Adversarially Robust? K Sooksatra, G Hamerly, P Rivas LatinX in AI Workshop at ICML 2023 (Regular Deadline), 2023 | | 2023 |
| Evaluating Robustness of Reconstruction Models with Adversarial Networks K Sooksatra, G Bejarano, P Rivas Procedia Computer Science 222, 353-366, 2023 | | 2023 |
| On Adversarial Examples for Text Classification by Perturbing Latent Representations K Sooksatra, B Khanal, P Rivas LatinX in AI at Neural Information Processing Systems Conference 2022, 2022 | | 2022 |
| Evaluating Robustness of Generative Models with Adversarial Networks K Sooksatra, G Bejarano, P Rivas | | 2022 |
| An Adversarial Neural Cryptography Approach to Integrity Checking: Learning to Secure Data Communications K Sooksatra, P Rivas 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | | 2021 |
| A Proof of Sparseness, Optimality, and Convergence of an LP-SVR P Rivas, K Sooksatra 2020 International Conference on Computational Science and Computational …, 2020 | | 2020 |
| Attribution Scores of BERT-Based SQL-Query Automatic Grading for Explainability K Sooksatra, B Khanal, P Rivas, DR Schwartz | | |
Pablo RivasComputer Science, Baylor UniversityVerified email at baylor.edu
