Publications

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P. Godfrey, B., & Karp R. M. (2009).  On the Price of Heterogeneity in Parallel Systems. Theory of Computing Systems. 45(2), 280-301.
McCoy, D., Dharmdasani H., Kreibich C., Voelker G. M., & Savage S. (2012).  Priceless: The Role of Payments in Abuse-Advertised Goods. 845-856.
Cocchi, R., Shenker S. J., Estrin D., & Zhang L. (1993).  Pricing in Computer Networks: Motivation, Formulation, and Example. IEEE/ACM Transactions on Networking. 1(6), 614-627.
Clark, D. D., Estrin D., Herzog S., & Shenker S. J. (1996).  Pricing in Computer Networks: Reshaping the Research Agenda. 97-126.
Richter, P., Allman M., Bush R., & Paxson V. (2015).  A Primer on IPv4 Scarcity. ACM SIGCOMM Computer Communication Review. 45(2), 21-31.
Moody, J., & Utans J. (1992).  Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction. 4,
Kohli, P., Osokin A., & Jegelka S. (2013).  A Principled Deep Random Field for Image Segmentation. 1971-1978.
Allman, M., Kreibich C., Paxson V., Sommer R., & Weaver N. (2008).  Principles for Developing Comprehensive Network Visibility.
Albanese, A., Blömer J., Edmonds J., & Luby M. (1994).  Priority Encoding Transmission.
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.
Frik, A., Nurgalieva L., Bernd J., Lee J. S., & Schaub F. (2019).  Privacy and Security Threat Models and Mitigation Strategies of Older Adults. Proceedings of SOUPS '19.
Frik, A., Nurgalieva L., Bernd J., Lee J. S., Schaub F., & Egelman S. (2019).  Privacy and Security Threat Models and Mitigation Strategies of Older Adults. Proceedings of the 15th Symposium on Usable Privacy and Security (SOUPS '19).
Tahaei, M., Frik A., & Vaniae K. (2021).  Privacy Champions in Software Teams: Understanding Their Motivations, Strategies, and Challenges. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1-15.
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,
Gürses, S., Rizk R., & Günther O. (2008).  Privacy Design in Online Social Networks: Learning from Privacy Breaches and Community Feedback.
Boehme, R., & Pötzsch S. (2010).  Privacy in Online Social Lending. 23-28.
Asharov, G., Demmler D., Sachapira M., Schneider T., Segev G., Shenker S. J., et al. (2017).  Privacy-Preserving Interdomain Routing at Internet Scale. Proceedings of PoPETs 2017.
Karp, R. M. (1979).  Probabilistic Analysis of Graph-theoretic Algorithms. Proceedings of the Computer Science and Statistics 12th Annual Symposium on the Interface.
Daskalakis, C., Dimakis A.. G., Karp R. M., & Wainwright M.. J. (2008).  Probabilistic Analysis of Linear Programming Decoding. IEEE Transactions on Information Theory. 54(8), 3565-3578.
Karp, R. M., Motwani R., & Nisan N. (1993).  Probabilistic analysis of network flow algorithms. Mathematics of Operations Research. 18(1), 71-97.
Karp, R. M. (1977).  Probabilistic Analysis of Partitioning Algorithms for the Traveling-salesman Problem in the Plane. Mathematics of Operations Research. 2(3), 209-224.
Karp, R. M., & Matula D. W. (1975).  Probabilistic Behavior of a Naive Coloring Algorithm on Random Graphs. Bulletin of the Operations Research Society of America. 23,
Karp, R. M., & Matula D. W. (1975).  Probabilistic Behavior of a Naive Coloring Algorithm on Random Graphs.
Nishimura, J., & Friedman E. (2012).  Probabilistic Convergence Guarantees for Type-II Pulse-Coupled Oscillators. Physical Review E. 86,
Wendelken, C., & Shastri L. (2000).  Probabilistic inference and learning in a connectionist causal network. Proceedings of the Second International ICSC Symposium on Neural Computation (NC'2000).

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