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Found 5 papers, 2 papers with code
Unlearnable Examples For Time Series
In this work, we introduce the first UE generation method to protect time series data from unauthorized training by deep learning models.
End-to-End Anti-Backdoor Learning on Images and Time Series
Backdoor attacks present a substantial security concern for deep learning models, especially those utilized in applications critical to safety and security.
Backdoor Attacks on Time Series: A Generative Approach
We find that, compared to images, it can be more challenging to achieve the two goals on time series.
Dual Head Adversarial Training
Deep neural networks (DNNs) are known to be vulnerable to adversarial examples/attacks, raising concerns about their reliability in safety-critical applications.
Wilcoxon Rank-Based Tests for Clustered Data with R Package clusrank
For independent data, they are available in several R packages such as stats and coin.
Computation
