Researchers have shown how ‘network alignment’ techniques can be used to map nodes from a reference graph into an anonymized social-network graph. These algorithms, however, are often sensitive to larger network sizes, the number of seeds, and noise~— which may be added …

Our Work on Community-Enhanced Deanonymization to Appear at CCS 2014 Read More »

A number of wearable ‘lifelogging’ camera devices have been released recently, allowing consumers to capture images and other sensor data continuously from a first-person perspective. While lifelogging cameras are growing in popularity, little is known about privacy perceptions of these …

Our Work on Privacy Behaviors of Lifeloggers to Appear at UbiComp 2014 Read More »

PIs Kapadia and Crandall have received a 2014 Google Research Award for their research on privacy  in the context of ‘lifelogging’ wearable cameras. We expect that these wearable cameras (see the Narrative Clip and the Autographer in addition to Google Glass) will become commonplace …

Google Research Award Read More »

Owing to the ever-expanding size of social and professional networks, it is becoming cumbersome for individuals to configure information disclosure settings. We used location sharing systems to unpack the nature of discrepancies between a person’s disclosure settings and contextual choices. …

Our Work on Exposure Feedback to Appear at CHI 2014 Read More »

A new generation of wearable devices (such as Google Glass and the Narrative Clip) will soon make ‘first-person’ cameras nearly ubiquitous, capturing vast amounts of imagery without deliberate human action. ‘Lifelogging’ devices and applications will record and share images from …

PlaceAvoider to Appear at NDSS 2014: Privacy in the Age of First-Person Cameras Read More »

Indiana University hosted the interactive and thought-provoking PETools workshop, chaired by Prof. Apu Kapadia and held in conjunction with PETS 2013. The goal of this workshop was to discuss the design of privacy tools aimed at real-world deployments. This workshop brought together privacy practitioners and researchers with …

PETools: Workshop on Privacy Enhancing Tools (July 9) Read More »

Prof. Apu Kapadia’s award from the National Science Foundation (NSF) is titled CAREER: Sensible Privacy: Pragmatic Privacy Controls in an Era of Sensor-Enabled Computing. From the press release: Kapadia will receive $550,887 over the next five years to advance his work in security and …

Apu Kapadia Receives NSF CAREER Award Read More »

We introduce PlaceRaider, a proof-of-concept mobile malware that exploits a smartphone’s camera and onboard sensors to reconstruct rich, 3D models of the victim’s indoor space using only opportunistically taken photos. Attackers can use these models to engage in remote reconnaissance …

PlaceRaider Presented at NDSS 2013 Read More »

Profs. David Crandall and Apu Kapadia have been awarded  $50K of seed funding through the Faculty Research Support Program (FRSP) for their project titled Vision for Privacy: Privacy-aware Crowd Sensing using Opportunistic Imagery. A variety of powerful and potentially transformative `visual social sensing’ applications could …

FRSP Award: ‘Vision for Privacy’ Read More »

We propose Cachet, a peer-to-peer social-network architecture that provides strong security and privacy guarantees. We leverage cryptographic techniques to protect the confidentiality of data, and design a hybrid structured-unstructured overlay paradigm where social contacts  act as trusted caches to help …

Cachet Presented at CoNEXT 2012 Read More »