• Publications
  • Influence
I Know What You're Buying: Privacy Breaches on eBay
This paper describes and executes a series of attacks, leveraging the feedback system to reveal users’ potentially sensitive purchases on eBay, and contrasts this information leakage with eBayusers’ privacy expectations as measured by an online survey. Expand
On a Scale from 1 to 10, How Private Are You? Scoring Facebook Privacy Settings
As social interactions increasingly move to Face- book, the privacy options offered have come under inspection. Users find the interface confusing, and the impact of the individ- ual settings on aExpand
What, where, and when: keyword search with spatio-temporal ranges
This work proposes 3W, a search framework for geo-temporal stamped documents that exploits the structure of time-stamped data to dramatically shrink the temporal search space and uses a shallow tree based on the spatial distribution of tweets to allow speedy search over the spatial and text dimensions. Expand
Children Seen But Not Heard: When Parents Compromise Children's Online Privacy
Recommendations for privacy-conscious parents are made and an interface change is suggested through which Facebook can nudge parents towards better stewardship of their children's privacy is suggested. Expand
The City Privacy Attack: Combining Social Media and Public Records for Detailed Profiles of Adults and Children
This paper shows how data brokers and other third parties can combine online and offline data sources -- namely, public Facebook profiles and voter registration records -- to create detailed profiles of adults, teens, and children in any target city in the US. Expand
Taking the Pulse of US College Campuses with Location-Based Anonymous Mobile Apps
S surveying students at different college campuses with Yik Yak, an anonymous mobile app that is popular on US college campuses, provides significant insight into how campus culture and student’s thinking varies among US colleges and universities. Expand
Leveraging Personalization to Facilitate Privacy
This work builds and evaluates MyPrivacy, a publicly available web application that suggests personalized privacy settings, and shows that users find the suggestions to be appropriate and private; they express intent to implement the recommendations made by MyPrivacy. Expand