Publications

Found 565 results
Author Title Type [ Year(Asc)]
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2019
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).
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).
Chakraborty, R., Wang J., & Yu S. X. (2019).  SurReal: Fr'echet Mean and Distance Transform for Complex-Valued Deep Learning. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
QasemiZadeh, B., Petruck M. R. L., Kallmeyer L., Candito M., Maldonado A., Osswald R., et al. (2019).  Unsupervised Lexical Semantic Frame Induction: A SemEval 2019 Task Proposal.
Pan, X., Chakraborty R., & Yu S. X. (2019).  Visual Similarity from Optimizing Feature and Memory On A Hypersphere. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition .
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.
Iyer, A. Padmanabha, Panda A., Venkataraman S., Chowdhury M., Akella A., Shenker S. J., et al. (2018).  Bridging the GAP: towards approximate graph analytics. Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA).
Ren, J., Lindorfer M., Dubois D. J., Rao A., Choffnes D., & Vallina-Rodriguez N. (2018).  Bug Fixes, Improvements, ... and Privacy Leaks - A Longitudinal Study of PII Leaks Across Android App Versions. NDSS 2018.
Kotzias, P., Razaghpanah A., Amann J., Paterson K. G., Vallina-Rodriguez N., & Caballero J. (2018).  Coming of Age: A Longitudinal Study of TLS Deployment. Proceedings of IMC 18.
Wijesekera, P., Reardon J., Reyes I., Tsai L., Chen J-W., Good N., et al. (2018).  Contextualizing Privacy Decisions for Better Prediction (and Protection). Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’18).
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.
Adams, O., Cohn T., Neubig G., Cruz H., Bird S., & Michaud A. (2018).  Evaluating phonemic transcription of low-resource tonal languages for language documentation. Proceedings of the LREC 2018 Workshop.
Adams, O., Cohn T., Neubig G., Cruz H., Bird S., & Michaud A. (2018).  Evaluating phonemic transcription of low-resource tonal languages for language documentation. Proceedings of the LREC 2018 Workshop.
Reeder, R. W., Felt A. Porter, Consolvo S., Malkin N., Thompson C., & Egelman S. (2018).  An Experience Sampling Study of User Reactions to Browser Warnings in the Field. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’18).
Iyer, A. Pamanabha, Panda A., Chowdhury M., Akella A., Shenker S. J., & Stoica I. (2018).  Monarch: Gaining Command on Geo-Distributed Graph Analytics.. Proceedings of HotCloud 2018.
Scheitle, Q., Gasser O., Nolte T., Amann J., Brent L., Carle G., et al. (2018).  The Rise of Certificate Transparency and Its Implications on the Internet Ecosystem. Proceedings of 18th Internet Measurement Conference (IMC'18).
Chen, J.., Jiang J.., Duan H.., Chen S.., Paxson V., & Yang M.. (2018).   We Still Don't Have Secure Cross-Domain Requests: an Empirical Study of CORS. Proceedings of USENIX Security Symposium.
Chen, J.., Jiang J.., Duan H.., Chen S.., Paxson V., & Yang M.. (2018).   We Still Don't Have Secure Cross-Domain Requests: an Empirical Study of CORS. Proceedings of USENIX Security Symposium.

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