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Modern computer applications require not only to protect data using encryption, but also to perform computations on data in encrypted form, e.g., in a cloud computing setting where private data is stored and processed on a remote, untrusted server.

System-on-Chip (SoC) is the driving force behind computing and communication in a wide variety of electronic systems, ranging from simple devices in smart homes to complex systems in satellites. Network-on-Chip (NoC) is a commonly used solution for on-chip communication between components in complex SoCs. To meet cost and time-to-market constraints, SoCs are designed using various hardware components, often gathered from untrusted third-party vendors. Despite increasing importance of trusted communication in overall system security, NoC security is relatively under-investigated.

Edge computing has quickly risen as an effective paradigm to capture, process, gain insights from, and act upon the massive amount of Internet of Things (IoT) data close to where it is generated. Future edge computing systems are expected to be hierarchical and heterogeneous. It will become increasingly common for a single IoT application to utilize edge computing resources owned by multiple entities.

The fields of coding theory and cryptography are intertwined, with each field influencing the other: Certain error correcting codes from coding theory are equivalent to a type of secret sharing scheme used in cryptography to achieve secure multiparty computation. Other types of coding/secret sharing schemes (such as non-malleable codes and leakage-resilient secret sharing) were first proposed to solve security problems arising in cryptographic settings. There are currently many variants of coding/secret sharing schemes, and most of the constructions are complex or ad-hoc.

Online reputation systems are ubiquitous for customers to evaluate businesses, products, people, and organizations based on reviews from the crowd. For example, Yelp and TripAdvisor rank restaurants and hotels based on user reviews, and RateMDs allows patients to review doctors and hospitals. These systems can however be leveraged by spammers to mislead and manipulate the inexperienced customers with fake but well-disguised reviews (spams). To comprehensively protect customers and honest businesses, advanced spam detection techniques have been deployed.