Information retrieval (IR) and information privacy/security are two fast-growing computer science disciplines. There are many synergies and connections between these two disciplines. However, there have been very limited efforts to connect the two important disciplines to study privacy in search. On the other hand, due to lack of mature techniques in privacy-preserving IR, concerns about information privacy and security have become serious obstacles that prevent valuable user data to be used in IR research such as studies on query logs, social media, tweets, and medical record retrieval. This is the second year of the privacy-preserving IR workshop. We aim to connect the two disciplines. We look forward to spurring research that brings together the research fields of IR and privacy/security.
More info at http://privacypreservingir.org
Grace Hui Yang
Dr Grace Hui Yang is an Assistant Professor in the Department of Computer Science at Georgetown University. She received her Ph.D. in Computer Science from Carnegie Mellon University. Grace's current research interests include privacy-preserving information retrieval, particularly online information exposure detection that predicts the vulnerability for common Web activities and warns users about the sensitivity of their activities before they make innocent moves. Her research interests also include dynamic information retrieval, search engine evaluation, information organization and ontology construction. Prior to this, Grace has worked on question answering, near-duplicate detection, multimedia information retrieval, and opinion and sentiment detection. Grace co-chaired the SIGIR 2013 and SIGIR 2014 Doctoral Consortium, CIKM 2015 Tutorial, and serves as a program committee member in SIGIR, ACL, EMNLP, CIKM, WSDM, and KDD.
National Institute of Standards and Technology
Dr. Ian Soboroff is a computer scientist and leader of the Retrieval Group at the National Institute of Standards and Technology (NIST). The Retrieval Group organizes the Text REtrieval Conference (TREC), the Text Analysis Conference (TAC), and the TREC Video Retrieval Evaluation (TRECVID). These are all large, community-based research workshops that drive the state-of-the-art in information retrieval, video search, web search, information extraction, text summarization and other areas of information access. He has co-authored many publications in information retrieval evaluation, test collection building, text filtering, collaborative filtering, and intelligent software agents. His current research interests include building test collections for social media environments and nontraditional retrieval tasks.