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Justin Whitehouse
Justin Whitehouse
Verified email at andrew.cmu.edu
Title
Cited by
Cited by
Year
Formal security analysis of neural networks using symbolic intervals
S Wang, K Pei, J Whitehouse, J Yang, S Jana
27th {USENIX} Security Symposium ({USENIX} Security 18), 1599-1614, 2018
5042018
Efficient formal safety analysis of neural networks
S Wang, K Pei, J Whitehouse, J Yang, S Jana
Advances in neural information processing systems 31, 2018
4532018
Fully-Adaptive Composition in Differential Privacy
J Whitehouse, A Ramdas, R Rogers, S Wu
International Conference on Machine Learning, 36990-37007, 2023
212023
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes
J Whitehouse, ZS Wu, A Ramdas
arXiv preprint arXiv:2310.09100, 2023
202023
Optimal resource allocation for elastic and inelastic jobs
B Berg, M Harchol-Balter, B Moseley, W Wang, J Whitehouse
Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and …, 2020
132020
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints
J Whitehouse, A Ramdas, SZ Wu, RM Rogers
Advances in Neural Information Processing Systems 35, 11217-11228, 2022
52022
On the Sublinear Regret of GP-UCB
J Whitehouse, ZS Wu, A Ramdas
arXiv preprint arXiv:2307.07539, 2023
42023
The case for phase-aware scheduling of parallelizable jobs
B Berg, J Whitehouse, B Moseley, W Wang, M Harchol-Balter
ACM SIGMETRICS Performance Evaluation Review 49 (3), 65-66, 2022
42022
Bringing Engineering Rigor to Deep Learning
K Pei, S Wang, Y Tian, J Whitehouse, C Vondrick, Y Cao, B Ray, S Jana, ...
ACM SIGOPS Operating Systems Review 53 (1), 59-67, 2019
22019
Adaptive Principal Component Regression with Applications to Panel Data
A Agarwal, K Harris, J Whitehouse, ZS Wu
arXiv preprint arXiv:2307.01357, 2023
12023
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