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Our notion of authorship is broader than the English definition of the word. In the context of code, authorship relates to those who make significant changes to a target file. This may include the original file creator, as well as those who subsequently change it. Hence, different from author...
Style Change Detection at PAN’20 Given the key role of this task and the progress made in previous years, at PAN’20, we will continue to advance research in this direction. We aim to steer the task back to its original goal: detecting the exact position of authorship changes. Therefore,...
The change in this state occurs due to the forget gate. If its value is 0, then the previous state is forgotten, and if 1, then the previous state is saved. BiLSTM is an analog of unidirectional LSTM cells. However, BiLSTM has the advantage of being able to analyze not only the ...
Similarly, time series analysis and change-point detection methods can adapt to change authorship patterns that allow for the recognition of new coding or writing styles. The continuous evaluation and validation of the models are crucial to ensure their performance over time. 9. Conclusions In ...
However, this explanation could change as the input instance is altered. The SHAP local explanation considers only a specific instance at a time and generates an explanation by showing which feature values are making decisions toward the position and those that are negative. Figure 10 and Figure ...
Adding pseudo complex code that does not change functionality; Using preprocessor directives: obfuscation may involve manipulating or transforming preprocessor directives, such as #define or #ifdef, to further obfuscate the code’s logic or structure; ...
the researcher came to the conclusion that function words, word n-grams, and character n-grams are by far the most suitable for generating authorial profiles in the current application, assuming that these don’t change much from edition to edition, and this was all the researcher interested in...
Table 7. Percentual increase/decrease in accuracy when using the mBERT embeddings as composition input grouped by composition method and language, with results omitted if there is no change. 4.3. Qualitative Results The improvement of our composite method over the baseline for French (0.8347 vs. ...
When varying the batch size used for training we note a significant change in the performance, so we made all our experiments with a batch size of 256. The following sections show the results of the baseline methods, the graph-based Siamese architecture and the graph-based Siamese ensemble arc...