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Found 6 papers, 2 papers with code
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue
Conclusion: Based on this study, we would suggest the use of optimized GANs as an alternative method for security vulnerability data class imbalanced issues.
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack
Conclusion: When employing ensemble defense against adversarial evasion attacks, we suggest creating an ensemble with unexpected models that are distant from the attacker's expected model (i. e., target model) through methods such as hyperparameter optimization.
Methods for Stabilizing Models across Large Samples of Projects (with case studies on Predicting Defect and Project Health)
To the best of our knowledge, STABILIZER is order of magnitude faster than the prior state-of-the-art transfer learners which seek to find conclusion stability, and these case studies are the largest demonstration of the generalizability of quantitative predictions of project quality yet reported in the SE literature.
How to Better Distinguish Security Bug Reports (using Dual Hyperparameter Optimization
For example, in a study of security bug reports from the Chromium dataset, the median recalls of FARSEC and Swift were 15. 7% and 77. 4%, respectively.
Software Engineering
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization
To the best of our knowledge, this is the first application of hyperparameter optimization as a tool for software engineers to generate fairer software.
Hyperparameter Optimization for Effort Estimation
We test OIL on a wide range of hyperparameter optimizers using data from 945 software projects.
Software Engineering
