Search Results - "Erkin, Z."

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  1. 1

    Content-based recommendations with approximate integer division by Veugen, T., Erkin, Z.

    “…Recommender systems have become a vital part of e-commerce and online media applications, since they increased the profit by generating personalized…”
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    Conference Proceeding
  2. 2

    Private data aggregation with groups for smart grids in a dynamic setting using CRT by Erkin, Z.

    “…Computing the total consumption within a neighbourhood or of a single households in smart grids is important for billing and statistical analysis. Fine…”
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    Conference Proceeding
  3. 3

    Generating Private Recommendations Efficiently Using Homomorphic Encryption and Data Packing by Erkin, Z., Veugen, T., Toft, T., Lagendijk, R. L.

    “…Recommender systems have become an important tool for personalization of online services. Generating recommendations in online services depends on…”
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    Journal Article
  4. 4

    Efficiently computing private recommendations by Erkin, Z., Beye, M., Veugen, T., Lagendijk, R. L.

    “…Online recommender systems enable personalized service to users. The underlying collaborative filtering techniques operate on privacy sensitive user data,…”
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    Conference Proceeding
  5. 5

    Emerging cryptographic challenges in image and video processing by Puech, W., Erkin, Z., Barni, M., Rane, S., Lagendijk, R. L.

    “…In an increasing number of image and video processing problems, cryptographic techniques are used to enforce content access control, identity verification and…”
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    Conference Proceeding
  6. 6

    Privacy-preserving recommender systems in dynamic environments by Erkin, Z., Veugen, T., Lagendijk, R. L.

    “…Recommender systems play a crucial role today in on-line applications as they improve the customer satisfaction, and at the same time results in an increase in…”
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    Conference Proceeding
  7. 7

    Generating private recommendations in a social trust network by Erkin, Z., Veugen, T., Lagendijk, R. L.

    “…Recommender systems have become increasingly important in e-commerce as they can guide customers with finding personalized services and products. A variant of…”
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    Conference Proceeding
  8. 8

    Efficient privacy preserving K-means clustering in a three-party setting by Beye, M., Erkin, Z., Lagendijk, R. L.

    “…User clustering is a common operation in online social networks, for example to recommend new friends. In previous work [5], Erkin et al. proposed a…”
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    Conference Proceeding
  9. 9

    Privacy-preserving user clustering in a social network by Erkin, Z., Veugen, T., Toft, T., Lagendijk, R.L.

    “…In a ubiquitously connected world, social networks are playing an important role on the Internet by allowing users to find groups of people with similar…”
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    Conference Proceeding
  10. 10

    Encrypted signal processing for privacy protection: Conveying the utility of homomorphic encryption and multiparty computation by Lagendijk, R. L., Erkin, Z., Barni, M.

    Published in IEEE signal processing magazine (01-01-2013)
    “…In recent years, signal processing applications that deal with user-related data have aroused privacy concerns. For instance, face recognition and personalized…”
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    Magazine Article
  11. 11

    Privacy-preserving data aggregation in smart metering systems: an overview by Erkin, Z., Troncoso-pastoriza, J. R., Lagendijk, R. L., Perez-Gonzalez, F.

    Published in IEEE signal processing magazine (01-03-2013)
    “…Growing energy needs are forcing governments to look for alternative resources and ways to better manage the energy grid and load balancing. As a major…”
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    Magazine Article