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Found 5 papers, 3 papers with code
A Data Quality Assessment Framework for AI-enabled Wireless Communication
Using artificial intelligent (AI) to re-design and enhance the current wireless communication system is a promising pathway for the future sixth-generation (6G) wireless network.
Hypothesis Test Procedures for Detecting Leakage Signals in Water Pipeline Channels
We design statistical hypothesis tests for performing leak detection in water pipeline channels.
Understanding Adversarial Robustness Against On-manifold Adversarial Examples
On synthetic datasets, theoretically, We prove that on-manifold adversarial examples are powerful, yet adversarial training focuses on off-manifold directions and ignores the on-manifold adversarial examples.
Disentangling Adversarial Robustness in Directions of the Data Manifold
Standard adversarial training increases model robustness by extending the data manifold boundary in the small variance directions, while on the contrary, adversarial training with generative adversarial examples increases model robustness by extending the data manifold boundary in the large variance directions.
Optimally Combining Classifiers for Semi-Supervised Learning
In this paper, we find these two methods have complementary properties and larger diversity, which motivates us to propose a new semi-supervised learning method that is able to adaptively combine the strengths of Xgboost and transductive support vector machine.
