Natural language processing has improved tremendously after the success of word
embedding techniques such as word2vec. Recently, the same idea has been applied on …

Vulnerability identification is crucial to protect the software systems from attacks for cyber
security. It is especially important to localize the vulnerable functions among the source code …

This paper addresses the challenging problem of retrieval and matching of graph structured
objects, and makes two key contributions. First, we demonstrate how Graph Neural …

Reverse engineering is a manually intensive but necessary technique for understanding the
inner workings of new malware, finding vulnerabilities in existing systems, and detecting …

Cyber attacks against IoT devices are a severe threat. These attacks exploit software
vulnerabilities in IoT firmware. Fuzzing is an effective software testing technique for finding …

Conventional attacks of insider employees and emerging APT are both major threats for the
organizational information system. Existing detections mainly concentrate on users' behavior …

Machine learning has become mainstream across industries. Numerous examples prove the
validity of it for security applications. In this work, we investigate how to reverse engineer a …

In recent years, coverage-based greybox fuzzing has proven itself to be one of the most
effective techniques for finding security bugs in practice. Particularly, American Fuzzy Lop …

The binary similarity problem consists in determining if two functions are similar by only
considering their compiled form. Techniques for binary similarity have an immediate …

JavaScript is dynamically typed and hence lacks the type safety of statically typed
languages, leading to suboptimal IDE support, difficult to understand APIs, and unexpected …