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Junxing Yang, Md. Ariful Islam, Radu Grosu, Scott A. Smolka, Scott Stoller.  2017.  A Simplex Architecture for Hybrid Systems using Barrier Certificates. International Conference on Computer Safety, Reliability and Security (SAFECOMP 2017). :117–131.
Jun Han, Madhumitha Harishankar, Xiao Wang, Albert Jin Chung, Patrick Tague.  2017.  Convoy: Physical Context Verification for Vehicle Platoon Admission. 18th International Workshop on Mobile Computing Systems and Applications (HotMobile).
Jun Han, Albert Jin Chung, Patrick Tague.  2017.  PitchIn: Eavesdropping via Intelligible Speech Reconstruction using Non-Acoustic Sensor Fusion. 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).
Jun Han, Shijia Pan, Manal Kumar Sinha, Hae Young Noh, Pei Zhang, Patrick Tague.  2017.  SenseTribute: Smart Home Occupant Identification via Fusion Across On-Object Sensing Devices. 4th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys).

to appear

Judson Wilson, Riad S. Wahby, Henry Corrigan-Gibbs, Dan Boneh, Philip Levis, Keith Winstein.  2017.  Trust but Verify: Auditing Secure Internet of Things Devices. {Proceedings of the The 15th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2017)}.
Joseph Wang, Venkatesh Saligrama, David A. Castañón.  2011.  Structural similarity and distance in learning. 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011, Allerton Park {&} Retreat Center, Monticello, IL, USA, 28-30 September, 2011. :744–751.
Joseph Wang, Venkatesh Saligrama.  2012.  Local Supervised Learning through Space Partitioning. Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States.. :91–99.
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama.  2013.  Online local linear classification. 5th {IEEE} International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, {CAMSAP} 2013, St. Martin, France, December 15-18, 2013. :173–176.
Joseph Wang, Venkatesh Saligrama.  2013.  Locally-Linear Learning Machines (L3M). Asian Conference on Machine Learning, {ACML} 2013, Canberra, ACT, Australia, November 13-15, 2013. 29:451–466.
Joseph Wang, Tolga Bolukbasi, Kirill Trapeznikov, Venkatesh Saligrama.  2014.  Model Selection by Linear Programming. Computer Vision - {ECCV} 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part {II}. 8690:647–662.
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama.  2014.  An LP for Sequential Learning Under Budgets. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2014, Reykjavik, Iceland, April 22-25, 2014. 33:987–995.
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama.  2015.  Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada. :2152–2160.
Jonathan Sprinkle, Chris vanBuskirk, Stephen Rees, Jnaneshwar Das, Vijay Kumar, Joris Kenanian, Paulo Tabuada.  2017.  Compiling CPS Model Repositories through Student Competitions. 2nd Workshop on Monitoring and Testing of Cyber-Physical Systems.

This talk describes how the Cyber-Physical Systems Virtual Organization (CPS-VO) is hosting competitions for the purpose of improving CPS verication tools. We describe the 2016 Challenge, which focused on quadrotor control and codesign of payload, and the 2017 Challenge which focuses on populating a ground vehicle simulator with realistic obstacles. In addition, the interfaces by which participants compete are described, in order to articulate the means by which models can be decoupled from the system for the purposes of evaluation by external tools. 

Jonathan Root, Jing Qian, Venkatesh Saligrama.  2015.  Learning Efficient Anomaly Detectors from K-NN Graphs. Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2015, San Diego, California, USA, May 9-12, 2015. 38