Mozhgan Azimpourkivi

  • Citations Per Year
Learn More
Citizen journalism videos increasingly complement or even replace the professional news coverage through direct reporting by event witnesses. This raises questions of the integrity and credibility of such videos. We introduce Vamos, the first user transparent video "liveness" verification solution based on video motion, that can be integrated into any(More)
We introduce Pixie, a novel, camera based two factor authentication solution for mobile and wearable devices. A quick and familiar user action of snapping a photo is sufficient for Pixie to simultaneously perform a graphical password authentication and a physical token based authentication, yet it does not require any expensive, uncommon hardware. Pixie(More)
How to tell if a review is real or fake? What does the underworld of fraudulent reviewing look like? Detecting suspicious reviews has become a major issue for many online services. We propose the use of a clique-finding approach to discover well-organized suspicious reviewers. From a Yelp dataset with over one million reviews, we construct multiple Reviewer(More)
How to tell if a review is real or fake? What does the underworld of fraudulent reviewing look like? Detecting suspicious reviews has become a major issue for many online services. We propose the use of a clique-finding approach to discover well-organized suspicious reviewers. From a Yelp dataset with over one million reviews, we construct multiple Reviewer(More)
Friend spam, adversarial invitations sent to social network users, exposes victims to a suite of privacy, spear phishing and malware vulnerabilities. In this paper, we use the location history of users to detect friend spam. We posit that the user trust in friends is associated with their co-location frequency. We exploit this hypothesis to introduce(More)
The impact of citizen journalism raises important video integrity and credibility issues. In this article, we introduce Vamos, the first user transparent video “liveness” verification solution based on video motion, that accommodates the full range of camera movements, and supports videos of arbitrary length. Vamos uses the agreement between video motion(More)
  • 1