Publications

Found 4258 results
Author Title [ Type(Asc)] Year
Conference Paper
Nedevschi, S., Ratnasamy S., & Padhye J. (2009).  Hot Data Centers vs. Cool Peers. 8.
Chen, J., Weaver N., Jiang J., Wan T., Duan H., & Paxson V. (2016).   Host of Troubles: Multiple Host Ambiguities in HTTP Implementations. Proceedings of ACM CCS.
Zhuang, S., Lai K., Stoica I., Katz R. H., & Shenker S. J. (2003).  Host Mobility Using an Internet Indirection Infrastructure. Proceedings of the First International Conference on Mobile Systems, Applications, and Services (MobiSys 2003). 129-144.
Ho, G., Dhiman M., Akhawe D., Paxson V., Savage S., Voelker G. M., et al. (2021).  Hopper: Modeling and Detecting Lateral Movement. Proceedings of the 30th USENIX Security Symposium. 3093-3110.
Meyer, B. T., Spille C., Kollmeier B., & Morgan N. (2012).  Hooking Up Spectro-Temporal Filters with Auditory-Inspired Representations for Robust Automatic Speech Recognition.
Duan, H., Weaver N., Zhao Z., Hu M., Liang J., Jiang J., et al. (2012).  Hold-On: Protecting Against On-Path DNS Poisoning.
Andersen, D. G., Balakrishnan H., Feamster N., Koponen T., Moon D., & Shenker S. J. (2007).  Holding the Internet Accountable. 1-7.
Subramanian, L., Caesar M., Ee C. Tien, Handley M., Mao M., Shenker S. J., et al. (2005).  HLP: A Next-Generation Interdomain Routing Protocol. Proceedings of ACM Special Interest Group on Data Communications Conference (SIGCOMM 2005). 13-24.
Sommer, R., Vallentin M., De Carli L., & Paxson V. (2014).  HILTI: An Abstract Execution Environment for Deep, Stateful Network Traffic Analysis.
Gelbart, D., Morgan N., & Tsymbal A.. (2009).  Hill-Climbing Feature Selection for Multi-Stream ASR. 2967-2970.
Ziekow, H., Fabian B., & Müller C. (2009).  High-Speed Access to RFID Data: Meeting Real-Time Requirements in Distributed Value Chains. 142-151.
Pang, R., & Paxson V. (2003).  A High-level Programming Environment for Packet Trace Anonymization and Transformation. Proceedings of ACM Special Interest Group on Data Communications Conference (SIGCOMM 2003).
Qazi, Z. Ayyub, Walls M., Panda A., Sekar V., Ratnasamy S., & Shenker S. J. (2017).  A High Performance Packet Core for Next Generation Cellular Networks.. Proceedings of the Conference of the ACM Special Interest Group on Data Communication SIGNCOMM '17.
Sivadas, S., & Hermansky H. (2002).  Hierarchical Tandem Feature Extraction. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2002).
Bhattacharya, A. A., Culler D. E., Friedman E., Ghodsi A., Shenker S. J., & Stoica I. (2013).  Hierarchical Scheduling for Diverse Datacenter Workloads.
Maire, M., Yu S. X., & Perona P. (2013).  Hierarchical Scene Annotation.
Valente, F., Magimai-Doss M., Plahl C., & Ravuri S. (2009).  Hierarchical Processing of the Modulation Spectrum for GALE Mandarin LVCSR System. 2963-2966.
Feldman, M., Chuang J., Stoica I., & Shenker S. J. (2005).  Hidden-Action in Multi-Hop Routing. Proceedings of the 6th ACM Conference on Electronic Commerce (EC'05). 117-126.
Coja-Oghlan, A.., Krumke S.. O., & Nierhoff T. (2003).  A Heuristic for the Stacker Crane Problem on Trees Which is Almost Surely Exact. Algorithms and Computation, 14th International Symposium, ISAAC 2003, LNCS 2906. 605-614.
Yao, Z.., Gholami A.., Lei Q.., Keutzer K.., & Mahoney M. (2018).  Hessian-based Analysis of Large Batch Training and Robustness to Adversaries. Proceedings of the 2018 NeurIPS Conference. 4954-4964.
Akhawe, D., Amann J., Vallentin M., & Sommer R. (2013).  Here's My Cert, So Trust Me, Maybe? Understanding TLS Errors on the Web.
Weaver, N., Kreibich C., Dam M., & Paxson V. (2014).  Here Be Web Proxies. 8362, 183-192.
Dodge, E., & Wright A. (2002).  Herds of Wildebeest, Flasks of Vodka, Heaps of Trouble: An Embodied Construction Grammar Approach to English Measure Phrases. Proceedings of the 28th Annual Meeting of the Berkeley Linguistics Society.
Al-Fares, M.., Radhakrishnan S., Raghavan B., Huang N.., & Vahdat A. (2010).  Hedera: Dynamic Flow Scheduling for Data Center Networks.
Martin, C.. H., & Mahoney M. (2020).  Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks. Proceedings of 2020 SDM Conference.

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