Publications
]
(In Press). How Great is the Great Firewall? Measuring China's DNS Censorship.
Proceedings of the 30th USENIX Security Symposium.
(2021). Hopper: Modeling and Detecting Lateral Movement.
Proceedings of the 30th USENIX Security Symposium. 3093-3110.
(2021). How to Cut Down on Ransomware Attacks Without Banning Bitcoin.
Slate.
(2020). Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks.
Proceedings of 2020 SDM Conference.
(2020). Human Comprehension of Fairness in Machine Learning.
AIES '20: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. 152.
(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.
(2019). HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision.
Proceedings of ICCV 2019.
(2019). Homogenization of material properties in additively manufactured structures.
US Patent 10353378.
(2018). Hessian-based Analysis of Large Batch Training and Robustness to Adversaries.
Proceedings of the 2018 NeurIPS Conference. 4954-4964.
(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.
(2016). Homogenization of material properties in additively manufactured structures.
Computer-Aided Design. 78, 71-82.
(2016). Host of Troubles: Multiple Host Ambiguities in HTTP Implementations.
Proceedings of ACM CCS.
(2016). How neural network depth compensates for HMM conditional independence assumptions in DNN-HMM acoustic models.
Proceedings of Interspeech 2016.
(2015). Hacking Team Reloaded? US - Based Ethiopian Journalists Again Targeted with Spyware.
The Citizen Lab.
(2014). Hacking Team and the Targeting of Ethiopian Journalists.
The Citizen Lab.
(2014). Hacking Team's US Nexus.
The Citizen Lab.
(2014). Here Be Web Proxies.
8362, 183-192.
(2014). Historical Pedigree Reconstruction from Extant Populations Using PArtitioning of RElatives (PREPARE).
PLoS Computational Biology. 10(6),