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Vulnerabilities in Deep Learning

Deep Learning for vulnerability disclosure

Currently, data scientists have begun using AI (Artificial Intelligence) algorithms to solve problems from the data perspective. Data scientists have been working on problems related to areas like...



Python proofreading a document

Pars orationis non est secura

Using parser combinators to detect flaws

We like bWAPP around here, because it’s very buggy!. We have shown here how to find and exploit vulnerabilities like SQL injection, directory traversal, XPath injection, and UNIX command...



Pythia and supplicant in the Oracle of Delphi

The Oracle of Code

About code as data

“Most programs are too large to understand in complete detail”. This was written in the 80’s.[1] Imagine the situation today. Hence the need for automated tools to aid in the process of analyzing...



Person playing chess against a robotic arm

Will machines replace us?

Automatic detection vs. manual detection

More than 20 years have passed since Garry Kasparov, the chess world champion, was defeated by Deep Blue, the supercomputer designed by IBM. For many people, that event was proof that machines had...



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