Molto interessante, grazie per la segnalazione. In realtà il discorso dello stile, che rende identificabile una persona, è molto più ampio: uno stile pittorico, un modo di scrivere, un approccio personale al disegno possono rendere identificabile una persona tanto quanto lo stile di programmazione. Buon agosto a tutti D. ________________________________ From: nexa <nexa-bounces@server-nexa.polito.it> on behalf of Giovanni Battista Gallus <g.gallus@gmail.com> Sent: Thursday, August 16, 2018 6:28 AM To: nexa@server-nexa.polito.it Subject: [nexa] Is coding style personal data? Identifying Programmers by their Coding Style [2018.08.13]<https://www.schneier.com/blog/archives/2018/08/identifying_pro.html> Fascinating research<https://www.wired.com/story/machine-learning-identify-anonymous-code/> de-anonymizing code -- from either source code or compiled code: Rachel Greenstadt, an associate professor of computer science at Drexel University, and Aylin Caliskan, Greenstadt's former PhD student and now an assistant professor at George Washington University, have found that code, like other forms of stylistic expression, are not anonymous. At the DefCon hacking conference Friday, the pair will present a number of studies they've conducted using machine learning techniques to de-anonymize the authors of code samples. Their work could be useful in a plagiarism dispute, for instance, but it also has privacy implications, especially for the thousands of developers who contribute open source code to the world. Una prospettiva molto interessante, segnalata sull'ultimo Cryptogram (https://www.schneier.com/crypto-gram/archives/2018/0815.html#cg29). Buone riflessioni agostane. G.Battista Gallus