Van de Ven translates this pair of Dutch words as "benign" and "malicious" envy, respectively.
However, obfuscation can be use both for benign and malicious purposes.
The differences between benign and malicious envy, meanwhile, are stark: the two spur us to act in very different ways.
We present a large-scale study of the properties, characteristics, and distribution of benign and malicious singleton files.
Although the study didn't explicitly differentiate between benign and malicious envy, it did measure such emotional correlates as hostility and resentfulness.
This study aimed to examine the influence of benign and malicious envy upon offers from proponents with envious and envied status in the Ultimatum Game.
The training dataset had 1,092,122 conversations (1,049,242 benign and 42,880 malicious), and the test split contained 558,348 conversations (540,566 benign and 22,042 malicious).
GEFeS was run 30 times on the 30-28 dataset where training set consisted of 20 feature vectors associated with 10 benign and 10 malicious apps, the validation set consisted of 19 feature vectors associated with 10 benign and 9 malicious apps, and the test set also consisted of 19 feature vectors associated with 10 benign and 9 malicious apps.
For the standard AISs and mAISs, a sixfold cross-validation was used where the training set consisted of 38 feature vectors associated with 20 benign and 18 malicious apps, the tuning set consisted of 10 feature vectors associated with 5 benign and 5 malicious apps and the test set also consisted of 10 feature vectors associated with 5 benign and 5 malicious apps similar to the setup used in [27].
Altogether, the dataset contained 1,654,730 conversations (1,589,808 benign and 64,922 malicious).
In our acquisition experiments we used 6774 compatible PDF files (5145 benign and 1629 malicious) in our repository and created 10 randomly selected datasets as each one of them contains 10 subsets of 620 files representing each day's stream of new files.
