Publications

Found 167 results
Author Title Type [ Year(Desc)]
Filters: Author is Gerald Friedland  [Clear All Filters]
2018
Tschantz, M. Carl, Egelman S., Choi J., Weaver N., & Friedland G. (2018).  The Accuracy of the Demographic Inferences Shown on Google's Ad Settings. Proceedings of the 2018 Workshop on Privacy in the Electronic Society. 33-41.
Choi, J., Akkus I. Ekin, Egelman S., Friedland G., Sommer R., Tschantz M. Carl, et al. (2018).  Cybercasing 2.0: You Get What You Pay For.
Ma, D., Friedland G., & Krell M. Michael (2018).  OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation. Proceedings of the 7th International Meeting on Origami in Science, Mathematics and Education (7OSME).
2019
Larson, M., Choi J., Slokom M., Erkin Z., Friedland G., & de Vries A. P. (2019).  Privacy and audiovisual content: Protecting users as big multimedia data grows bigger. Big Data Analytics for Large-Scale Multimedia Search.
Tschantz, M. Carl, & Friedland G. (2019).  Privacy Concerns of Multimodal Sensor Systems. The Handbook of Multimodal-Multisensor Interfaces: Foundations, User Modeling, and Common Modality Combinations . 1,
Ye, Z., Choi J., & Friedland G. (2019).  Supervised Deep Hashing for Highly Efficient Cover Song Detection. Proceedings of the 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).
In Press
Ye, Z., Choi J., & Friedland G. (In Press).  Supervised Deep Hashing for Highly Efficient Cover Song Detection. Proceedings of the 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).

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