Found 4258 results
Author Title Type [ Year(Asc)]
Tahaei, M., Frik A., & Vaniea K. (2021).  Privacy Champions in Sofware Teams: Understanding Their Motivations, Strategies, and Challenges. CHI Conference on Human Factors in Computing Systems. 2021,
Weaver, N. (2021).  The Ransomware Problem Is a Bitcoin Problem.
McClure, S., Ratnasamy S., Bansal D., & Padhye J. (2021).  Rethinking networking abstractions for cloud tenants. HotOS '21: Proceedings of the Workshop on Hot Topics in Operating Systems. 41-48.
Balakrishnan, H., Banerjee S., Cidon I., Culler D. E., Estrin D., Katz-Basset E. B., et al. (2021).  Revitalizing the public internet by making it extensible. ACM SIGCOMM Computer Communication Review . 51(2), 18-24.
Wang, J., Chakraborty R., & Yu S. X. (2021).  Spatial Transformer for 3D Point Clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence.
Wang, X., & Yu S. X. (2021).  Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. Proceedings of AAAI Conference on Artificial Intelligence.
Ke, T-W., Hwang J-J., & Yu S. X. (2021).  Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. Proceedings of International Conference on Learning Representations.
Hornauer, S., Li K., Yu S. X., Ghaffarzadegan S., & Ren L. (2021).  Unsupervised Discriminative Learning of Sounds for Audio Event Classification. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing.
Wang, X., Liu Z., & Yu S. X. (2021).  Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
Wang, X., Lian L., & Yu S. X. (2021).  Unsupervised Visual Attention and Invariance for Reinforcement Learning. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
Weaver, N. (2021).  What Happened in the Kaseya VSA Incident?. Lawfare.
Weaver, N. (2021).  What's the Deal with the Log4Shell Security Nightmare?. Lawfare.
Feldmann, A., Gasser O., Lichtblau F., Pujol E., Poese I., Dietzel C., et al. (2021).  A Year in Lockdown: How the Waves of COVID-19 Impact Internet Traffic. Communications of the ACM (CACM). 64(7), 101-108.
Gamba, J.., Rashed M.., Razaghpanah A., Vallina-Rodriguez N., & Tapiador J.. (2020).  An Analysis of Pre-Installed Android Software. IEEE Sympsium on Security and Privacy 2020.
Weaver, N. (2020).  Apple vs FBI: Pensacola Isn’t San Bernardino. Lawfare.
Narayan, A., Panda A., Alizadeh M., Balakrishnan H., Krishnamurthy A., & Shenker S. J. (2020).  Bertha: Tunneling through the Network API. HotNets '20: Proceedings of the 19th ACM Workshop on Hot Topics in Networks. 53-59.
Weaver, N. (2020).  Blocking International Students Is an Attack on America’s Future. Lawfare.
Amaro, E., Branner-Augmon C., Luo Z., Ousterhout A., Aguilera M. K., Panda A., et al. (2020).  Can far memory improve job throughput?. EuroSys '20: Proceedings of the Fifteenth European Conference on Computer Systems. 1-16.
Zhao, T., Choi J., & Friedland G. (2020).  DIME: An Online Tool for the Visual Comparison of Cross-modal Retrieval Models. International Conference on Multimedia Modeling. 729-733.
Brown, L., Ananthanarayanan G., Katz-Basset E. B., Krishnamurthy A., Ratnasamy S., Shapira M., et al. (2020).  On the Future of Congestion Control for the Public Internet. HotNets '20: Proceedings of the 19th ACM Workshop on Hot Topics in Networks. 30-37.
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.
Weaver, N. (2020).  How Easy Is it to Build a Robot Assassin?. Lawfare.
Saha, D., Schumann C., McElfresh D. C., Dickerson J. P., Mazurek M. L., & Tschantz M. Carl (2020).  Human Comprehension of Fairness in Machine Learning. AIES '20: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. 152.
Lee, M. Kyung, Grgić-Hlača N., Tschantz M. Carl, Binns R., Weller A., Carney M., et al. (2020).  Human-Centered Approaches to Fair and Responsible AI. CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. 1-8.
Ma, L.., Montague G.., Ye J.., Yao Z.., Gholami A.., Keutzer K.., et al. (2020).  Inefficiency of K-FAC for Large Batch Size Training. Proceedings of the AAAI-20 Conference.