Secure Multiparty Computation (SMC) is a universally applicable privacy-enhancing technology, that can be used whenever untrusted platforms compute on sensitive data. These theoretical possibilities of SMC have been known for a long time, and the last 5-7 years have seen further impressive theoretical advances in this field. These have been accompanied with some practical applications, but these have been small in number and restricted to a couple of fields. With this workshop, we want to bring together researchers of SMC and builders of secure systems, to discuss the secure computation techniques necessary for practical applications. We are interested in practical experience of applying SMC (both positive and negative), privacy-preserving methods of solving particular problems, the integration of SMC with the rest of a secure system and any positive and negative interplay it may have with other functional and non-functional requirements, emerging problems in applications made possible by SMC, etc. The workshop is organized by FP7-funded project Usable and Efficient Secure Multiparty Computation (UaESMC).