Source code attribution classifiers have recently become powerful. We consider the possibility that an adversary could craft code with the intention of causing a misclassification, i.e., creating a forgery of another author’s programming style in order to hide the forger’s own identity or blame the other author. We find that it is possible for a non-expert adversary to defeat such a system. In ...

The aim of the authorship attribution is identification of the author/s of unknown document(s). Every author has a unique style of writing pattern. The present paper identifies the unique style of an author(s) using lexical stylometric features. The lexical feature vectors of various authors are used in the supervised machine learning algorithms for predicting the unknown document. The highest ...

Translatorship attribution deals with accurately attributing a translation to its translator. The task is challenging because several factors can confound the such as original author’s style, genre, and topic of text. identification translator’s style could contribute fields including studies forensic linguistics. In this paper, we pose translatorship multiclass classification problem employ ma...

Assessed the influence of children's attribution style, coping style, social competence, parent coping, and demographic variables on the psychosocial adjustment of 86 pediatric oncology patients. Utilizing hierarchical multiple regression procedures, nearly one half of the variance in child depression was predicted by children's avoidance coping, depressive attributional style, and social compe...

OBJECTIVE To examine a measure of explanatory style, the Optimism-Pessimism (PSM) scale derived from college-entry Minnesota Multiphasic Personality Inventory scores, as a predictor of all-cause mortality. SUBJECTS AND METHODS A total of 7007 students entering the University of North Carolina at Chapel Hill completed the Minnesota Multiphasic Personality Inventory during the mid-1960s. Of tho...