Publications

Found 1144 results
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2016
Miller, B., Kantchelian A., Tschantz M. Carl, Afroz S., Bachwani R., Faizullabhoy R., et al. (2016).  Reviewer Integration and Performance Measurement for Malware Detection. 13th Conference on Detection of Intrusions and Malware and Vulnerability Assessment (DIMVA).
Kellman, M., & Morgan N. (2016).  Robust Multi-Pitch Tracking: a trained classifier based approach.
Caselli, M., Zambon E., Amann J., Sommer R., & Kargl F. (2016).  Specification Mining for Intrusion Detection in Networked Control Systems. Proceedings of the 25th USENIX Security Symposium. 790-806.
Holtz, R., Amann J., Mehani O., Wachs M., & Kaafar M. Ali (2016).  TLS in the Wild: An Internet-Wide Analysis of TLS-Based Protocols for Electronic Communication. Proceedings of the Network and Distributed System Security Symposium (NDSS).
Vallina-Rodriguez, N., Sundaresan S., Razaghpanah A., Nithyanand R., Allman M., Kreibich C., et al. (2016).  Tracking the Trackers: Towards Understanding the Mobile Advertising and Tracking Ecosystem. Proceedings of Workshop on Data and Algorithmic Transparency.
Murali, A., Garg A., Krishnan S., Pokory F. T., Abbeel P., Darrell T., et al. (2016).  TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning. IEEE International Conference on Robotics and Automation (ICRA). 4150-4157.
Karbasi, M., Abdelaziz A. Hussen, & Kolossa D. (2016).  Twin-HMM-based Non-intrusive Speech Intelligibility Prediction. Proceedings of ICASSP.
Karbasi, M., Abdelaziz A. Hussen, & Kolossa D. (2016).  Twin-HMM-based Non-intrusive Speech Intelligibility Prediction. Proceedings of ICASSP.
Li, F., Durumeric Z., Czyz J., Karami M., Bailey M., McCoy D., et al. (2016).  You’ve Got Vulnerability: Exploring Effective Vulnerability Notifications. Proceedings of the 25th USENIX Security Symposium.
2015
Thomas, K., Bursztein E., Jagpal N., Rajab M. Abu, Provos N., Pearce P., et al. (2015).  Ad Injection at Scale: Assessing Deceptive Advertisement Modifications.
Ashraf, K., Elizalde B. Martinez, Iandola F., Moskewicz M., Bernd J., Friedland G., et al. (2015).  Audio-Based Multimedia Event Detection with DNNs and Sparse Sampling. 611-614.
Miller, B., Kantchelian A., Tschantz M. Carl, Afroz S., Bachwani R., Faizullabhoy R., et al. (2015).  Back to the Future: Malware Detection with Temporally Consistent Labels. CoRR. abs/1510.07338,
Kantchelian, A., Tschantz M. Carl, Afroz S., Miller B., Shankar V., Bachwani R., et al. (2015).  Better Malware Ground Truth: Techniques for Weighting Anti-Virus Vendor Labels. Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security. 45–56.
Vallina-Rodriguez, N., Sundaresan S., Kreibich C., Weaver N., & Paxson V. (2015).  Beyond the Radio: Illuminating the Higher Layers of Mobile Networks.
Pathak, D., Krahenbuhl P., & Darrell T. (2015).  Constrained Convolutional Neural Networks for Weakly Supervised Segmentation. The IEEE International Conference on Computer Vision (ICCV). 1796-1804.
Pathak, D., Kraehenbuehl P., Yu S. X., & Darrell T. (2015).  Constrained Structured Regression with Convolutional Neural Networks. CoRR. abs/1511.07497,
Krahenbuhl, P., Doersch C., Donahue J., & Darrell T. (2015).  Data-dependent Initializations of Convolutional Neural Networks. CoRR. abs/1511.06856,
Kumar, G., & Shapiro V. (2015).  Efficient 3D analysis of laminate structures using ABD-equivalent material models. Finite Elements in Analysis and Design. 106, 41-55.
Vallina-Rodriguez, N., Sundaresan S., Kreibich C., & Paxson V. (2015).  Header Enrichment or ISP Enrichment: Emerging Privacy Threats in Mobile Networks.
Darrell, T., Kloft M., Pontil M., Rätsch G., & Rodner E. (2015).  Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152). Dagstuhl Reports. 5, 18–55.
Feldman, J., Trott S., & Khayrallah H. (2015).  Natural Language For Human Robot Interaction.
Fisher, J., Darrell T., Galup L., How J., Krause A., & Soatto S. (2015).  Nonparametric Representations for Integrated Inference, Control, and Sensing.
Krause, M., & Kulkarni A. (2015).  Predicting Sales E-Mail Responders using a Natural Language Model. Communications of the ACM. 38(11), 39-41.
Krause, M., & Kulkarni A. (2015).  Predicting Sales E-Mail Responders using a Natural Language Model. Communications of the ACM. 38(11), 39-41.
Chu, V., McMahon I., Riano L., McDonald C. G., He Q., Perez-Tejada J. Martinez, et al. (2015).  Robotic Learning of Haptic Adjectives Through Physical Interaction. Robot. Auton. Syst.. 63(P3), 279–292.

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