Arash Rahnama

According to our database, Arash Rahnama authored at least 19 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Robustness Against Adversarial Attacks in Neural Networks Using Incremental Dissipativity.

Bernardo Aquino, Arash Rahnama, Peter J. Seiler, Lizhen Lin, Vijay Gupta

IEEE Control. Syst. Lett., 2022

2021

Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training.

Can Karakus, Rahul Huilgol, Fei Wu, Anirudh Subramanian, Cade Daniel, Derya Çavdar, Teng Xu, Haohan Chen, Arash Rahnama, Luis Quintela

CoRR, 2021

An Adversarial Approach for Explaining the Predictions of Deep Neural Networks.

Arash Rahnama, Andrew Tseng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Learning-Based Event-Triggered Control for Synchronization of Passive Multiagent Systems Under Attack.

Arash Rahnama, Panos J. Antsaklis

IEEE Trans. Autom. Control., 2020

Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory.

Arash Rahnama, André T. Nguyen, Edward Raff

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A QSR-Dissipativity Based Design for Event-Triggered Networked Systems.

Arash Rahnama, Meng Xia, Panos J. Antsaklis

IEEE Trans. Autom. Control., 2019

Connecting Lyapunov Control Theory to Adversarial Attacks.

Arash Rahnama, André T. Nguyen, Edward Raff

CoRR, 2019

2018

Control Design Using Passivation for Stability and Performance.

Meng Xia, Arash Rahnama, Shige Wang, Panos J. Antsaklis

IEEE Trans. Autom. Control., 2018

Passivity-Based Design for Event-Triggered Networked Control Systems.

Arash Rahnama, Meng Xia, Panos J. Antsaklis

IEEE Trans. Autom. Control., 2018

Control and Machine Intelligence for System Autonomy.

Panos J. Antsaklis, Arash Rahnama

J. Intell. Robotic Syst., 2018

Network-based protein structural classification.

Arash Rahnama, Khalique Newaz, Panos J. Antsaklis, Tijana Milenkovic

CoRR, 2018

2017

Resilient Learning-Based Control for Synchronization of Passive Multi-Agent Systems under Attack.

Arash Rahnama, Panos J. Antsaklis

CoRR, 2017

A Passivity-Based Design for Stability and Robustness in Event-Triggered Networked Control Systems with Communication Delays, Signal Quantizations and Packet Dropouts.

Arash Rahnama, Meng Xia, Panos J. Antsaklis

CoRR, 2017

A passivity-based self-triggered strategy for cyber physical systems under denial-of-service attack.

Yang Yan, Meng Xia, Arash Rahnama, Panos J. Antsaklis

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning.

Arash Rahnama, Abdullah Alchihabi, Vijay Gupta, Panos J. Antsaklis, Fatos T. Yarman-Vural

Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016

A QSR-dissipativity and passivity based analysis of event-triggered networked control systems.

Arash Rahnama, Meng Xia, Panos J. Antsaklis

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Performance optimization based on passivation of systems with applications to systems with input/output delay.

Meng Xia, Arash Rahnama, S. Wang, Panos J. Antsaklis

Proceedings of the 2016 American Control Conference, 2016

Passivation and performance optimization using an extremum seeking co-simulation framework with application to Adaptive Cruise Control systems.

Arash Rahnama, Meng Xia, Shige Wang, Panos J. Antsaklis

Proceedings of the 2016 American Control Conference, 2016

2015

On guaranteeing passivity and performance with a human controller.

Meng Xia, Arash Rahnama, Shige Wang, Panos J. Antsaklis

Proceedings of the 23rd Mediterranean Conference on Control and Automation, 2015