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Arash Rahnama
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Journal Articles
- 2022
- [j6]Bernardo Aquino, Arash Rahnama, Peter J. Seiler, Lizhen Lin, Vijay Gupta:
Robustness Against Adversarial Attacks in Neural Networks Using Incremental Dissipativity. IEEE Control. Syst. Lett. 6: 2341-2346 (2022) - 2020
- [j5]Arash Rahnama, Panos J. Antsaklis:
Learning-Based Event-Triggered Control for Synchronization of Passive Multiagent Systems Under Attack. IEEE Trans. Autom. Control. 65(10): 4170-4185 (2020) - 2019
- [j4]Arash Rahnama, Meng Xia, Panos J. Antsaklis:
A QSR-Dissipativity Based Design for Event-Triggered Networked Systems. IEEE Trans. Autom. Control. 64(6): 2590-2597 (2019) - 2018
- [j3]Panos J. Antsaklis, Arash Rahnama:
Control and Machine Intelligence for System Autonomy. J. Intell. Robotic Syst. 91(1): 23-34 (2018) - [j2]Arash Rahnama, Meng Xia, Panos J. Antsaklis:
Passivity-Based Design for Event-Triggered Networked Control Systems. IEEE Trans. Autom. Control. 63(9): 2755-2770 (2018) - [j1]Meng Xia, Arash Rahnama, Shige Wang, Panos J. Antsaklis:
Control Design Using Passivation for Stability and Performance. IEEE Trans. Autom. Control. 63(9): 2987-2993 (2018)
Conference and Workshop Papers
- 2021
- [c8]Arash Rahnama, Andrew Tseng:
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks. CVPR Workshops 2021: 3253-3262 - 2020
- [c7]Arash Rahnama, André T. Nguyen, Edward Raff:
Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory. CVPR 2020: 8175-8184 - 2017
- [c6]Arash Rahnama, Abdullah Alchihabi, Vijay Gupta, Panos J. Antsaklis, Fatos T. Yarman-Vural:
Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning. BIBE 2017: 75-80 - [c5]Yang Yan, Meng Xia, Arash Rahnama, Panos J. Antsaklis:
A passivity-based self-triggered strategy for cyber physical systems under denial-of-service attack. CDC 2017: 6082-6087 - 2016
- [c4]Meng Xia, Arash Rahnama, S. Wang, Panos J. Antsaklis:
Performance optimization based on passivation of systems with applications to systems with input/output delay. ACC 2016: 973-978 - [c3]Arash Rahnama, Meng Xia, Shige Wang, Panos J. Antsaklis:
Passivation and performance optimization using an extremum seeking co-simulation framework with application to Adaptive Cruise Control systems. ACC 2016: 6109-6114 - [c2]Arash Rahnama, Meng Xia, Panos J. Antsaklis:
A QSR-dissipativity and passivity based analysis of event-triggered networked control systems. CDC 2016: 3072-3077 - 2015
- [c1]Meng Xia, Arash Rahnama, Shige Wang, Panos J. Antsaklis:
On guaranteeing passivity and performance with a human controller. MED 2015: 722-727
Informal and Other Publications
- 2021
- [i9]Can Karakus, Rahul Huilgol, Fei Wu, Anirudh Subramanian, Cade Daniel, Derya Çavdar, Teng Xu, Haohan Chen, Arash Rahnama, Luis Quintela:
Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training. CoRR abs/2111.05972 (2021) - [i8]Bernardo Aquino, Arash Rahnama, Peter Seiler, Lizhen Lin, Vijay Gupta:
Robustness against Adversarial Attacks in Neural Networks using Incremental Dissipativity. CoRR abs/2111.12906 (2021) - 2020
- [i7]Arash Rahnama, Andrew Tseng:
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks. CoRR abs/2005.10284 (2020) - 2019
- [i6]Arash Rahnama, André T. Nguyen, Edward Raff:
Connecting Lyapunov Control Theory to Adversarial Attacks. CoRR abs/1907.07732 (2019) - [i5]Arash Rahnama, André T. Nguyen, Edward Raff:
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory. CoRR abs/1911.04636 (2019) - 2018
- [i4]Arash Rahnama, Khalique Newaz, Panos J. Antsaklis, Tijana Milenkovic:
Network-based protein structural classification. CoRR abs/1804.04725 (2018) - 2017
- [i3]Arash Rahnama, Meng Xia, Panos J. Antsaklis:
A Passivity-Based Design for Stability and Robustness in Event-Triggered Networked Control Systems with Communication Delays, Signal Quantizations and Packet Dropouts. CoRR abs/1704.00592 (2017) - [i2]Arash Rahnama, Abdullah Alchihabi, Vijay Gupta, Panos J. Antsaklis, Fatos T. Yarman-Vural:
Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning. CoRR abs/1708.04232 (2017) - [i1]Arash Rahnama, Panos J. Antsaklis:
Resilient Learning-Based Control for Synchronization of Passive Multi-Agent Systems under Attack. CoRR abs/1709.10142 (2017)
Coauthor Index
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