Blind backdoors in deep learning models. CrossRef Google Scholar Wei Ye, John Heidemann, and Deborah Estrin. DEBORAH ESTRIN, 2 West Loop Road, NY, NY 10044, Department of Computer Science, Cornell Tech, Cornell University. Designing Augmented Reality Systems to Empower People with Low Vision, A11yVR Meetup, Oct 22, 2020. . Deborah Estrin mainly focuses on Wireless sensor network, Computer network, Distributed computing, Key distribution in wireless sensor networks and Real-time computing. Convolutional Networks with Adaptive Inference Graphs. 2. E.R. The ones marked * may be different from the article in the profile. Next century challenges: Scalable coordination in sensor networks. Ella Airola, MEd 1. View author publications . Articles Cited by Public access Co-authors. Google Scholar Google; Google Scholar; Semantic Scholar; IA Scholar; CiteSeerX; ORCID; ACM SenSys 2006: Boulder, Colorado, USA. Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, and Vitaly Shmatikov. dblp search; help us. In WWW. Yi Gai Google Verified email at usc.edu. Deborah Estrin (született 1959. december 6-án) a számítógép-tudomány professzora a Cornell Tech. contact dblp; Trier 1. Author links open overlay panel Kevin Patrick MD, MS 1 Eric B. Hekler PhD 2 Deborah Estrin PhD 3 David C. Mohr PhD 4 Heleen Riper PhD 5 David Crane MSc 6 Job Godino PhD 1 William T. Riley PhD 7. "A survey on Sensor Networks." . Share. Abroms. For example, multiple smartphones can . Authors. Google Scholar 49. Google Scholar. Sasank Reddy, Min Mun, Jeff Burke, Deborah Estrin, Mark Hansen, Mani Srivastava. Article Download PDF View Record in Scopus Google Scholar. Google Scholar Google Scholar Bhaskar Krishanamachari, Deborah Estrin, and Stephen Wicker. Journal of Medical Internet Research 22 (11), e23299, 2020. Professor of Computer Science, Cornell Tech, Cornell University. 2019. Google Scholar Digital Library Google Scholar; Zhengyao Jiang and Shan Luo. Thomas M Maddox, Geoff Gordon, Trushna Dave, Philip R O Payne, Andrew E Williams, Deborah Estrin, Ten principles for data sharing and commercialization, Journal of the American Medical Informatics Association, Volume 28 . 1999. John Brancaccio Professor of Mechanical and Aerospace Engineering . Article Download PDF View Record in Scopus Google Scholar. Despite the key role of self-monitoring in healthy lifestyle programmes, little has been reported on what impacts self-monitoring adherence over time (Reference Burke, Wang and Sevick 1).As a notable exception, self-monitoring adherence to recording dietary intake and physical activity has been compared between different modes of data entry, including mobile app, personal digital assistant . . Deborah Estrin. She is one of the most-referenced computer scientists of . IEEE. Jingzhao Zhang . Show more. Doctoral advisor. Their combined citations are counted only for the first article. Google Scholar Digital Library; Hongyi Wen, Longqi Yang, and Deborah Estrin. We introduce a constrain-and-scale attack, a form of data poisoning, that can stealthily inject a backdoor into one of the participating models during a single round of Federated Learning training. . CrossRef Google Scholar. Professor Computer Science Cornell Tech, 2 West Loop Rd., New York, NY 10044 917-675-4954. de226@cornell.edu. Sensor Networks (TOSN), 6 (2) (2010), pp. Technical Report 99-702b, University of Southern California, 1999. 659--667. Deborah Estrin is the Robert V. Tishman '37 Professor at Cornell Tech and in the Computer Science Department at Cornell University, and currently serves as an Associate Dean at Cornell Tech. References. Deborah Estrin (born December 6, 1959) is a Professor of Computer Science at Cornell Tech. How can I correct errors in dblp? . Các bài viết được đánh dấu * có thể khác với bài viết trong tiểu sử. Website. National Taiwan University - 10.554 lần trích dẫn - Multimedia Network - Sensor Network - Mobile Computing Google; Google Scholar; Semantic Scholar; IA Scholar; CiteSeerX; view this toc in. [Google Scholar] 34. Verified email at cornell.edu - Homepage. ACM, 2010. Google Scholar Wei Ye, John Heidemann, and Deborah Estrin. Mobile communication devices, in conjunction with Internet and social media, present opportunities to enhance disease prevention and management by . 5. Research focus: Mobile systems and applications, including: mobile health, personal informatics, and privacy. David P. Anderson. Deborah Estrin & John P. Pollak. We investigate task decomposition and collaboration in a two-tiered sensor network for habitat monitoring. Eric A. Graham, Eric A. Graham Search for other works by this author on: Oxford Academic. Ian F. Akyildiz, Weilian Su, Yogesh Sankarasubramaniam, and Erdal Cayirci. Zheng et al., 2008. JMLR. Minden idők egyik legjobban hivatkozott informatikusa, munkáját a Google Scholar szerint több mint 128 000 alkalommal idézte. 1. 2013;192:1062. . จำนวน "อ้างอิงโดย" นี้รวมถึงการอ้างอิงไปยังบทความต่อไปนี้ . Google Scholar Digital Library; Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge J. Belongie, and Deborah Estrin. Arthur David, Vassilvitskii Sergei. In Proceedings of the 8th international conference on Mobile systems, applications, and services, pages 179-194. Using mobile phones to determine transportation modes. Google Scholar Alberto Cerpa, Deborah Estrin: ASCENT: Adaptive Self-Configuring sEnsor Network Topologies. Deborah Estrin is the Robert V. Tishman '37 Professor at Cornell Tech and in the Computer Science Department at Cornell University, and currently serves as an Associate Dean at Cornell Tech. University of California, Los Angeles . Optimal and adaptive off-policy evaluation in contextual bandits. He has served in executive positions at MCI, the . Swendeman D, Rotheram-Borus MJ. The adoption of these increasingly capable devices by society has enabled a potentially pervasive sensing paradigm - participatory sensing. Google Scholar Lind L, Karlsson D. Digital pen-based telemonitoring of elderly heart failure patients. 2021. Each macronode combines data collected by multiple micronodes for target classification and localization. digital health mobile sensing Internet architecture public interest tech. Google Scholar; Yu-Xiang Wang, Alekh Agarwal, and Miroslav Dudik. Andreas Veit, Serge Belongie ECCV 2018 (Oral), International Journal for Computer Vision (IJCV) 2020 . Collaborative metric learning. Reviewed by Christina Cheng and Deborah Estrin. 5: William . Google Scholar Breton, B.F. Fuemmeler, L.C. Google Scholar. . Creative use of new mobile and wearable health information and sensing technologies (mHealth) has the potential to reduce the cost of health care and improve well-being in numerous ways. Research Scientist, Google - Cited by 3,735 - Computer Vision - Machine Learning . Vinton G. Cerf is vice president and Chief Internet Evangelist for Google. Deborah Estrin. Their combined citations are counted only for the first . Tartalom. Deborah Estrin is the Robert V. Tishman '37 Professor at Cornell Tech and in the Computer Science Department at Cornell University, and currently serves as an Associate Dean at Cornell Tech. Michael Taggart, Thomas C. Harmon, Alexander Rat'Ko, Phil Rundel, Brian Fulkerson, Deborah Estrin, Soil Sensor Technology: Life within a Pixel, BioScience, Volume 57, Issue 10, November 2007, Pages 859 . [Google Scholar] 11. These distinctions repeat the drumbeat . Download PDF. Our faculty are also known for their advocacy work in the public . Stud Health Technol Inform. Google Scholar 2017. Division of Biostatistics, Department of Population Health, New York University School of Medicine, New York, NY, USA. An energy-efficient mac protocol for wireless sensor networks. For more information about Yuhang, see her [Google Scholar]. University of Southern California. , Deborah Estrin, Vitaly Shmatikov AISTATS 2020 PDF Bibtex. Abstract. . Merged citations. J5. Google Scholar Digital Library; Santosh Kabbur, Xia Ning, and George Karypis. In Proceedings of the 34th International Conference on Machine Learning-Volume 70. 30th USENIX Security Symposium (USENIX Security 21), 1505-1521. , 2021. Deborah Estrin, Department of Computer Sciences, Cornell Tech, New York, NY, USA. Google Scholar; Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge Belongie, and Deborah Estrin. D Ganesan, B Krishnamachari, A Woo, D Culler, D Estrin, S Wicker. Google Scholar Semantic Scholar Github Twitter LinkedIn Blog Hello! . How To Backdoor Federated Learning. Alberto Cerpa, and Deborah Estrin, "ASCENT: Adaptive Self-Configuring sEnsor Networks Topolo-gies," IEEE Transactions on Mobile Computing (TMC), 3 (3), pp. In Proceedings of the IEEE Infocom, pages 1567-1576, New York, NY, June 2002. AL Yin, P Gheissari, IW Lin, M Sobolev, JP Pollak, C Cole, D Estrin. National Taiwan University - 10.554 lần trích dẫn - Multimedia Network - Sensor Network - Mobile Computing An analysis from March 2015 puts Sternberg as the 56th-most cited researcher of anyone listed publicly on Google Scholar. Abstract. Deborah Estrin is the Robert V. Tishman '37 Professor at Cornell Tech and in the Computer Science Department at Cornell University, and currently serves as an Associate Dean at Cornell Tech. Mobile networks and devices provide the users with ubiquitous connectivity, while many of their functionality and business models rely on data analysis and processing. k-means++: The advantages of careful seeding. The following articles are merged in Scholar. Participatory sensing can serve as a powerful "make a case" technology to support advocacy and civic engagement and provide a framework in which citizens can bring to light a civic bottleneck, hazard, personal-safety concern, cultural asset, or other data relevant to urban and natural-resources planning and services. In KDD. Google Scholar Digital Library; Deborah Estrin, Ramesh Govindan, John Heidemann, and Satish Kumar. export records of this page. Integrating wireless sensor networks with cloud computing. org, 3589-3597. The following articles are merged in Scholar. The impact of data aggregation in wireless sensor networks. "Modelling Data-Centric Routing in Wireless Sensor Networks." USC Computer Engineering Technical Report CENG 02-14, 2002. Estrin is known for her work on sensor networks, participatory sensing, mobile health, and small data. Top Scientists Citing Deborah Estrin Mani Srivastava. Deborah Estrin: The design and implementation of a self-calibrating distributed acoustic sensing platform. To a degree unusual in academic research, the security and privacy group regularly consults with industry practitioners to drive and inform its research. Google Scholar. Abstract: Federated learning enables multiple participants to jointly construct a deep learning model without sharing their private training data with each other. Participatory sensing can serve as a powerful "make a case" technology to support advocacy and civic engagement and provide a framework in which citizens can bring to light a civic bottleneck, hazard, personal-safety concern, cultural asset, or other data relevant to urban and natural-resources planning and services. Estrin's research activities include technologies for caregiving, immersive health, small data, participatory sensing, and Public Interest Technology. 2019. Deborah L. Estrin. Research focus: Mobile systems and applications, including: mobile health, personal informatics, and privacy. FISM: factored item similarity models for top-N recommender systems. Ramesh Govindan is an Indian-American professor of computer science. This attack can avoid proposed defenses and propagate the . New York, Fall 2020 . The traditional model of episodic care in clinic and hospital-based settings is suboptimal for improving chronic disease outcomes ([ 2 ][2]). 193--201. . You can also search for this author in PubMed Google Scholar. 193-201. Deborah Estrin Professor of Computer Science, Cornell Tech, . Brian Ferris . International Computer Science Institute. The system has a few powerful macronodes in the first tier, and many less powerful micronodes in the second tier. . . Introduction. Google Scholar 391: Management of chronic conditions places a considerable burden on patients, communities, and health care systems worldwide [], but evidence indicates that symptom management in chronic disease can be significantly improved through self-management interventions [2,3].Given that mobile phone usage in the United States has become widespread in recent years and is still on the rise . first 1000 hits only: XML; . Sarah Rossetti (née Collins), Sarah Rossetti (née Collins) Columbia University Irving Medical Center . In this context, Machine Learning (ML) plays a key role and has been successfully . 1 Media Education Hub, Faculty of Education, University of Lapland, Rovaniemi, . in Computer Science. จำนวน "อ้างอิงโดย" นี้รวมถึงการอ้างอิงไปยังบทความต่อไปนี้ . Alberto Cerpa is an Associate Professor and was one of the three founding faculties of the Electrical Engineering and Computer Science program in the School of Engineering at UC Merced when he joined in 2005. Deborah Estrin . Treweek S, Zwarenstein M. Making trials matter: pragmatic and . View author publications. Google Scholar [5] Deborah Estrin, Ramesh Govindan, John Heidemann and Satish Kumar, Next Century Challenges: Scalable Coordination in Sensor Networks, 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking, Seattle, Washington, 1999, pp. X-containers: Breaking down barriers to improve performance and isolation of cloud-native containers. Google Scholar. Innovation in sexually transmitted disease and HIV prevention: internet and mobile phone delivery vehicles for global diffusion. Add co-authors Co-authors. 1-27. 272-285, September 2004. . He contributes to global policy development and continued spread of the Internet. Thomas M Maddox, Geoff Gordon, Trushna Dave, Philip R O Payne, Andrew E Williams, Deborah Estrin, Ten principles for data sharing and commercialization, Journal of the American Medical Informatics Association, Volume 28 . Mobile phones have evolved from devices that are just used for voice and text communication to platforms that are able to capture and transmit a range of data types (image, audio, and location). Số lượng "Trích dẫn bởi" bao gồm trích dẫn trong các bài viết sau đây trong Scholar. Follow this author. Chronic diseases like diabetes, asthma, and obesity account for 46% of global disease burden ([ 1 ][1]). Sarah Rossetti (née Collins), Sarah Rossetti (née Collins) Columbia University Irving Medical Center . 7. 2017. Participatory sensing is the process whereby individuals and communities use . ACM. Cesar Ghali Software Engineer, Google Verified email at uci.edu Deborah Estrin Professor of Computer Science, Cornell Tech, Cornell University Verified email at cornell.edu Norrathep Rattanavipanon Prince of Songkla University, Phuket Campus Verified email at phuket.psu.ac.th Building efficient wireless sensor networks with low-level naming. Participatory sensing is the process whereby individuals and communities use . Other Cornell professors to make the cut are John Laragh (65,998 citations), Scott Emr (41,786 citations) and Deborah Estrin (94,735 citations). In Proceedings oflnternational Workshop of Distributed Event Based Systems (DEBS), Vienna, Austria, July 2002. . 71-84. [PMC free article] [Google Scholar] 2. Yu Zheng, Quannan Li, Yukun Chen, Xing Xie . Google Scholar Profile Personal Website for Deborah Estrin Cited by. For example, multiple smartphones can jointly . Z Shen, Z Sun, GE Sela, E Bagdasaryan, C Delimitrou, R Van Renesse, . Google Scholar Profile ; Hakim Weatherspoon Research; Information Science Profile; Ken Birman Research; Laboratory for Intelligent . Website. electronic edition via DOI; unpaywalled version . ACM Trans. The system recognizes and localizes a specified type of birdcalls. Deborah Estrin is a Professor of Computer Science at Cornell Tech, where she holds The Robert V. Tishman Founder's Chair, serves as the Associate Dean for Impact, and is an Affiliate Faculty at Weill Cornell Medicine. RECENT TALKS. E Bagdasaryan, V Shmatikov. Neural Logic Reinforcement Learning. Proceedings of the 36th International Conference on Machine Learning (2019). Website. Abstract: Federated learning enables thousands of participants to construct a deep learning model without sharing their private training data with each other. Khandakar Ahmed and Mark Gregory. Daniel Stutzbach Google Verified email at google.com. 2017. Google Scholar. 263--270. . 2013. electronic edition via DOI . Google Scholar . How To Backdoor Federated Learning. 751: 2002: The impact of spatial correlation on routing with compression in . Kung Yao. Diversity in smartphone usage. Big thanks to my advisor Shiri Azenkot and committee members Serge Belongie and Deborah Estrin for inspiring and supporting my research! . Deborah Estrin. Research focus: Mobile systems and applications, including: mobile health, personal informatics, and privacy. Bhaskar Krishnamachari, Deborah Estrin, and Stephen Wicker. Research Scientist, Google - อ้างอิงโดย 3,642 รายการ - Artificial Intelligence - Machine Learning - Computer Vision 62. view. Department of Electrical and Computer Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI, 53706-1691, USA. Trier 2; Dagstuhl > Home . In In WWW. I am a PhD student in Computer Science at the University of Washington advised by Prof. Tim Althoff.I graduated from Columbia University with a B.A. view. Widely known as one of the "Fathers of the Internet," Cerf is the co-designer of the TCP/IP protocols and the architecture of the Internet. Download PDF. Dissemination and routing. This "Cited by" count includes citations to the following articles in Scholar. 61. The following articles are merged in Scholar. John Heidemann, Fabio Silva, Chalermek Intanagonwiwat, Ramesh Govindan, Deborah Estrin, and Deepak Ganesan. Yu Hen Hu. (Some guy named Freud tops the list.) 262 - 270. . Cite. Authors: Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, Vitaly Shmatikov. Cornell Tech has one of the world's leading academic research groups specializing in security, privacy, and cryptography. Google Scholar. 1 Karrier; 2 Díjak; 3 Lásd még; 4 Hivatkozások; NOTE 2: Impact factor on journals, total number of citations and citation ranking based on Google Scholar. Website. He is the Northrop Grumman Chair in Engineering and Professor of Computer Science and Electrical Engineering at the University of Southern California . Their combined citations are counted only for the first article. Ramesh Govindan, and Deborah Estrin. Collaborative Metric Learning. Google Scholar. L Breslau, D Estrin, K Fall, S Floyd, P Haldar, M Handley, . Authors: Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, Vitaly Shmatikov. In Proceedings of the 5 th Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom'99). Research Scientist, Google - อ้างอิงโดย 3,642 รายการ - Artificial Intelligence - Machine Learning - Computer Vision Proceedings of the ACM-SIAM Symposium on Discrete Algorithms 2007 [Google Scholar] 3. Research focus: Mobile systems and applications, including: mobile health, personal informatics, and privacy. in Mathematics and Cornell University with a M.Eng. Technical Report UCLA/CSD-TR 02 13, 1-11, 2002. [Google Scholar] Research Highlights Adaptive Gradient Methods Converge Under Heavy-tailed Noise. Silvia Ferrari. Murgic L, Hébert PC, Sovic S, Pavlekovic G. Paternalism and autonomy: views of patients and providers in a transitional (post-communist) country. Research Scientist, Google - 2.650 lần trích dẫn - Computer Vision - Machine Learning . He received a Ph.D. degree in Computer Science from UCLA (2005), working under the supervision of Deborah Estrin. These applications are being developed in a variety of domains, but rigorous research is needed to examine the potential, as well as the challenges . In Proceedings of the Symposium on Operating Systems Principles, pages 146-159, Chateau Lake Louise, Banff, Alberta, Canada, October 2001.
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