<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div style="orphans: 2; widows: 2; font-size: 14px; margin: 0px; line-height: normal;" class="">The University of Chicago Computer Science Department</div><div style="orphans: 2; widows: 2; font-size: 14px; margin: 0px; line-height: normal;" class=""><br class=""></div><div style="orphans: 2; widows: 2; font-size: 14px; margin: 0px; line-height: normal; color: rgb(149, 17, 0);" class="">PRESENTS:</div><div style="orphans: 2; widows: 2; font-size: 14px; margin: 0px; line-height: normal; color: rgb(149, 17, 0);" class=""><br class=""></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><b style="font-size: 14px;" class="">“Supporting Security and Privacy Decisions with Data-Driven, User-Centered Methods”</b></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><b class=""><br class=""></b></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><b style="font-size: 14px;" class=""><br class=""></b></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><b style="font-size: 14px;" class="">Blase Ur</b></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class="">University of Chicago</div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><br class=""></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><b class=""><font size="2" class=""><br class=""></font></b></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><b class=""><font size="2" class="">Abstract:</font></b></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">I will introduce my research centered on helping users make better security and privacy decisions. I will</font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">first discuss my dissertation work on helping users create better passwords, focusing on two recent</font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">projects. First, we proposed using neural networks to model text passwords' resistance to guessing</font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">attacks and explored how different architectures and training methods impact guessing effectiveness. We</font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">showed that neural networks can often guess passwords more effectively than state-of-the-art</font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">approaches, and that this method can be used for fast and accurate password-strength estimation entirely</font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">client-side. We then developed a password meter that gives users data-driven, actionable feedback on</font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">their password. We found that such a meter leads users to create significantly more secure passwords</font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">without significantly impacting memorability.</font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class=""><br class=""></font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">I will then introduce a number of projects I am currently starting at UChicago. I am actively seeking</font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">students and collaborators! These projects range from data-driven methods to help users protect their</font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">online privacy, supporting user-centered and retrospective security practices for data in the cloud, and</font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">improving human-computer interaction for both the Internet of Things and machine learning.</font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class=""><br class=""></font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">Current students (undergraduate and graduate) with potential interests in security, privacy, or human-computer</font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">interaction are highly encouraged to attend. If you are interested in my work, yet unable to</font></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><font size="2" class="">attend the talk, please feel free to reach out: <span style="color: rgb(4, 51, 255);" class=""><a href="mailto:blase@uchicago.edu" class="">blase@uchicago.edu</a></span></font></div><div style="orphans: 2; widows: 2; font-size: 11px; margin: 0px; line-height: normal;" class=""><span style="color: rgb(4, 51, 255);" class=""><br class=""></span></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><b class=""><i class="">Bio:</i></b></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><i class="">Blase Ur is Neubauer Family Assistant Professor of Computer Science at the University of Chicago, where he researches</i></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><i class="">security, privacy, and human-computer interaction. His work encompasses helping users create strong passwords,</i></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><i class="">supporting privacy decisions with data, and improving the Internet of Things. He received best paper awards at USENIX</i></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><i class="">Security 2016 and UbiComp 2014, as well as honorable mentions at CHI 2016 and CHI 2012. His research has been</i></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><i class="">covered in the NY Times, Forbes, and Ars Technica. He received the 2016 John Karat Usable Privacy and Security</i></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><i class="">Student Research Award, an NDSEG fellowship, a Fulbright scholarship, and a Yahoo Key Scientific Challenges Award.</i></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><i class="">He earned his PhD from Carnegie Mellon University under Lorrie Cranor's mentorship and an AB in computer science</i></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><i class="">from Harvard University.</i></div><div style="orphans: 2; widows: 2; font-size: 10px; margin: 0px; line-height: normal;" class=""><br class=""></div><div style="orphans: 2; widows: 2; font-size: 10px; margin: 0px; line-height: normal;" class=""><br class=""></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><b style="font-size: 14px;" class="">Thursday, January 19, 2017</b></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><b style="font-size: 14px;" class="">3:00 pm</b></div><div style="orphans: 2; widows: 2; margin: 0px; line-height: normal;" class=""><b style="font-size: 14px;" class="">Ryerson 251</b></div><div style="orphans: 2; widows: 2; font-size: 10px; margin: 0px; line-height: normal;" class=""><br class=""></div></body></html>