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2020 – today
- 2024
[j3]David Umsonst
, Serkan Saritas, György Dán, Henrik Sandberg:
A Bayesian Nash Equilibrium-Based Moving Target Defense Against Stealthy Sensor Attacks. IEEE Trans. Autom. Control. 69(3): 1659-1674 (2024)- [i6]David Umsonst, Fernando S. Barbosa:
Remote Tube-based MPC for Tracking Over Lossy Networks. CoRR abs/2408.07553 (2024) - 2023
- [j2]David Umsonst, Justin Ruths, Henrik Sandberg:
Finite Sample Guarantees for Quantile Estimation: An Application to Detector Threshold Tuning. IEEE Trans. Control. Syst. Technol. 31(2): 921-928 (2023) - [c13]Roberto C. Sundin, David Umsonst:
kollagen: A Collaborative SLAM Pose Graph Generator. ICRA 2023: 9176-9182 - [i5]Roberto C. Sundin, David Umsonst:
kollagen: A Collaborative SLAM Pose Graph Generator. CoRR abs/2303.04753 (2023) - 2022
- [c12]David Umsonst, Navid Hashemi, Henrik Sandberg, Justin Ruths:
Practical Detectors to Identify Worst-Case Attacks. CCTA 2022: 197-204 - 2021
- [j1]David Umsonst, Henrik Sandberg:
On the confidentiality of controller states under sensor attacks. Autom. 123: 109329 (2021) - [c11]David Umsonst, Justin Ruths, Henrik Sandberg:
Sample-based anomaly detector tuning with finite sample guarantees. ACC 2021: 3248-3253 - [c10]David Umsonst, Henrik Sandberg:
On the confidentiality of the reference signal under sensor attacks. CDC 2021: 3468-3473 - [i4]David Umsonst, Justin Ruths, Henrik Sandberg:
Finite sample guarantees for quantile estimation: An application to detector threshold tuning. CoRR abs/2105.12239 (2021) - [i3]David Umsonst, Henrik Sandberg:
Experimental evaluation of sensor attacks and defense mechanisms in feedback systems. CoRR abs/2111.03407 (2021) - [i2]David Umsonst, Serkan Saritas, György Dán, Henrik Sandberg:
A Bayesian Nash equilibrium-based moving target defense against stealthy sensor attacks. CoRR abs/2111.06682 (2021) - 2020
- [c9]David Umsonst, Serkan Saritas, Henrik Sandberg:
A Nash equilibrium-based moving target defense against stealthy sensor attacks. CDC 2020: 3772-3778 - [i1]David Umsonst, Henrik Sandberg:
On the confidentiality of controller states under sensor attacks. CoRR abs/2001.02714 (2020)
2010 – 2019
- 2019
- [c8]David Umsonst, Ehsan Nekouei, André Teixeira, Henrik Sandberg:
On the Confidentiality of Linear Anomaly Detector States. ACC 2019: 397-403 - [c7]Michelle S. Chong, David Umsonst, Henrik Sandberg:
Voltage regulation of a power distribution network in a radial configuration with a class of sector-bounded droop controllers. CDC 2019: 3515-3520 - [c6]BooJoong Kang, David Umsonst, Mario Faschang, Christian Seitl, Ivo Friedberg, Friederich Kupzog, Henrik Sandberg, Kieran McLaughlin:
Intrusion Resilience for PV Inverters in a Distribution Grid Use-Case Featuring Dynamic Voltage Control. CRITIS 2019: 97-109 - 2018
- [c5]David Umsonst, Henrik Sandberg:
Anomaly Detector Metrics for Sensor Data Attacks in Control Systems. ACC 2018: 153-158 - [c4]David Umsonst, Henrik Sandberg:
A Game-Theoretic Approach for Choosing a Detector Tuning Under Stealthy Sensor Data Attacks. CDC 2018: 5975-5981 - [c3]Jezdimir Milosevic, David Umsonst, Henrik Sandberg, Karl Henrik Johansson:
Quantifying the Impact of Cyber-Attack Strategies for Control Systems Equipped With an Anomaly Detector. ECC 2018: 331-337 - [c2]Florian Kintzler, Tobias Gawron-Deutsch, Stephan Cejka, Judith Schulte, Mathias Uslar, Eric M. S. P. Veith, Ewa Piatkowska, Paul Smith, Friederich Kupzog, Henrik Sandberg, Michelle S. Chong, David Umsonst, Marco Mittelsdorf:
Large Scale Rollout of Smart Grid Services. GIoTS 2018: 1-7 - 2017
- [c1]David Umsonst, Henrik Sandberg, Alvaro A. Cárdenas:
Security analysis of control system anomaly detectors. ACC 2017: 5500-5506
Coauthor Index
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