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