Person
Pedram Pedarsani
This person is no longer with EPFL
Related publications (6)
Privacy and Dynamics of Social Networks
Over the past decade, investigations in different fields have focused on studying and understanding real networks, ranging from biological to social to technological. These networks, called complex networks, exhibit common topological features, such as a h ...
EPFL2013A Bayesian Method for Matching Two Similar Graphs without Seeds
Matthias Grossglauser, Pedram Pedarsani
Approximate graph matching (AGM) refers to the problem of mapping the vertices of two structurally similar graphs, which has applications in social networks, computer vision, chemistry, and biology. Given its computational cost, AGM has mostly been limited ...
2013Privacy and Dynamics of Social Networks (PhD Thesis: pre-print)
Over the past decade, investigations in different fields have focused on studying and understanding real networks, ranging from biological to social to technological. These networks, called complex networks, exhibit common topological features, such as a h ...
2012On the Privacy of Anonymized Networks
Matthias Grossglauser, Pedram Pedarsani
The proliferation of online social networks, and the concomitant accumulation of user data, give rise to hotly debated issues of privacy, security, and control. One specific challenge is the sharing or public release of anonymized data without accidentally ...
2011Preserving Privacy in Collaborative Filtering through Distributed Aggregation of Offline Profiles
Jean-Pierre Hubaux, Reza Shokri, Georgios Theodorakopoulos, Pedram Pedarsani
In recommender systems, usually, a central server needs to have access to users' profiles in order to generate useful recommendations. Having this access, however, undermines the users' privacy. The more information is revealed to the server on the user-it ...
ACM2009Densification Arising from Sampling Fixed Graphs
Matthias Grossglauser, Pedram Pedarsani
During the past decade, a number of different studies have identified several peculiar properties of networks that arise from a diverse universe, ranging from social to computer networks. A recently observed feature is known as network densification, which ...
ACM2008