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ORCIDSebastian Benthall
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2020 – today
- 2024
[c11]Sebastian Benthall
, Rachel Cummings:
Integrating Differential Privacy and Contextual Integrity. CSLAW 2024: 9-15- [c10]Zeda Xu, John Liechty, Sebastian Benthall, Nicholas Skar-Gislinge, Christopher McComb:
GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets. ICAIF 2024: 600-607 - [i6]Sebastian Benthall, Rachel Cummings:
Integrating Differential Privacy and Contextual Integrity. CoRR abs/2401.15774 (2024) - [i5]Zeda Xu, John Liechty, Sebastian Benthall, Nicholas Skar-Gislinge, Christopher McComb:
GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets. CoRR abs/2410.00288 (2024) - 2023
- [c9]Sebastian Benthall, David Shekman:
Designing Fiduciary Artificial Intelligence. EAAMO 2023: 10:1-10:15 - [i4]Sebastian Benthall, David Shekman:
Designing Fiduciary Artificial Intelligence. CoRR abs/2308.02435 (2023) - 2022
- [c8]Sebastian Benthall, Christopher D. Carroll, Zachary David, John Liechty, Alan Lujan, Christopher McComb, Nicholas Skar-Gislinge:
Simulating Heterogeneous Portfolio Choices and Financial Market Outcomes. AMPM@JURIX 2022 - 2021
- [c7]Sebastian Benthall, Jake Goldenfein:
Artificial Intelligence and the Purpose of Social Systems. AIES 2021: 3-12 - [c6]Sebastian Benthall, Michael Carl Tschantz, Erez Hatna, Joshua M. Epstein, Katherine J. Strandburg:
At the Boundary of Law and Software: Toward Regulatory Design with Agent-Based Modeling. AMPM@JURIX 2021 - 2020
- [c5]Sebastian Benthall, Mridul Seth:
Software Engineering as Research Method: Aligning Roles in Econ-ARK. SciPy 2020: 156-161
2010 – 2019
- 2019
- [c4]Sebastian Benthall, Bruce D. Haynes:
Racial categories in machine learning. FAT 2019: 289-298 - [c3]Sebastian Benthall:
Situated information flow theory. HotSoS 2019: 5:1-5:10 - 2018
- [b1]Sebastian Benthall:
Context, Causality, and Information Flow: Implications for Privacy Engineering, Security, and Data Economics. University of California, Berkeley, USA, 2018 - [i3]Sebastian Benthall, Bruce D. Haynes:
Racial categories in machine learning. CoRR abs/1811.11668 (2018) - 2017
- [j1]Sebastian Benthall, Seda F. Gürses, Helen Nissenbaum:
Contextual Integrity through the Lens of Computer Science. Found. Trends Priv. Secur. 2(1): 1-69 (2017) - [i2]Sebastian Benthall:
Don't Fear the Reaper: Refuting Bostrom's Superintelligence Argument. CoRR abs/1702.08495 (2017) - 2016
- [c2]Sebastian Benthall, Travis Pinney, J. C. Herz, Kit Plummer:
An Ecological Approach to Software Supply Chain Risk Management. SciPy 2016: 130-136 - [e1]Sebastian Benthall, Scott Rostrup:
Proceedings of the 15th Python in Science Conference 2016 (SciPy 2016), Austin, Texas, July 11 - July 17, 2016. scipy.org 2016 [contents] - 2015
- [c1]Sebastian Benthall:
Testing Generative Models of Online Collaboration with BigBang. SciPy 2015: 175-181 - 2012
- [i1]Sebastian Benthall, John Chuang:
Computational Asymmetry in Strategic Bayesian Networks. CoRR abs/1206.2878 (2012)
Coauthor Index
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