Real-time editing tools like Google Docs, Microsoft Office Online, or Etherpad have changed the way of collaboration. Many of these tools are based on Operational Transforms (OT), which guarantee that the views of different clients onto a document remain consistent over time. Usually, documents and operations are exposed to the server in plaintext -- and thus to administrators, governments, and potentially cyber criminals. Therefore, it is highly desirable to work collaboratively on encrypted documents. Previous implementations do not unleash the full potential of this idea: They either require large storage, network, and computation overhead, are not real-time collaborative, or do not take the structure of the document into account. The latter simplifies the approach since only OT algorithms for byte sequences are required, but the resulting ciphertexts are almost four times the size of the corresponding plaintexts.

A detailed understanding of the behavior of exploits and malicious software is necessary to obtain a comprehensive overview of vulnerabilities in operating systems or client applications, and to develop protection techniques and tools. To this end, a lot of research has been done in the last few years on binary analysis techniques to efficiently and precisely analyze code. Most of the common analysis frameworks are based on software emulators since such tools offer a fine-grained control over the execution of a given program. Naturally, this leads to an arms race where the attackers are constantly searching for new methods to detect such analysis frameworks in order to successfully evade analysis.