| Neyman-Pearson classification: parametrics and sample size requirement | Feb 7, 2018 | Binary ClassificationClassification | —Unverified | 0 |
| Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms | May 26, 2022 | Active LearningBIG-bench Machine Learning | —Unverified | 0 |
| Evading classifiers in discrete domains with provable optimality guarantees | Oct 25, 2018 | Adversarial RobustnessSpam detection | CodeCode Available | 0 |
| Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training | Dec 24, 2020 | Spam detection | CodeCode Available | 0 |
| Cost-Aware Robust Tree Ensembles for Security Applications | Dec 3, 2019 | Spam detection | CodeCode Available | 0 |
| EMFET: E-mail Features Extraction Tool | Nov 22, 2017 | BIG-bench Machine LearningSpam detection | CodeCode Available | 0 |
| Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection | Jul 13, 2021 | Adversarial AttackSpam detection | CodeCode Available | 0 |
| Modeling User Behavior With Interaction Networks for Spam Detection | Jul 21, 2022 | Spam detection | CodeCode Available | 0 |
| Detecting value-expressive text posts in Russian social media | Dec 14, 2023 | Active LearningSpam detection | CodeCode Available | 0 |
| GANs for Semi-Supervised Opinion Spam Detection | Mar 19, 2019 | General ClassificationGenerative Adversarial Network | CodeCode Available | 0 |
