Arash Rahnama

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 22

Top Topics

Image Watermarking Scheme

Networked Control Systems

Execution Times

Top Venues

IEEE Trans. Autom. Control.

Publications

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 (2022)
Bernardo Aquino, Arash Rahnama, Peter J. Seiler, Lizhen Lin, Vijay Gupta
Robustness against Adversarial Attacks in Neural Networks using Incremental Dissipativity. CoRR (2021)
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 (2021)
Arash Rahnama, Andrew Tseng
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks. CVPR Workshops (2021)
Arash Rahnama, André T. Nguyen, Edward Raff
Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory. CVPR (2020)
Arash Rahnama, Panos J. Antsaklis
Learning-Based Event-Triggered Control for Synchronization of Passive Multiagent Systems Under Attack. IEEE Trans. Autom. Control. 65 (10) (2020)
Arash Rahnama, Andrew Tseng
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks. CoRR (2020)
Arash Rahnama, André T. Nguyen, Edward Raff
Connecting Lyapunov Control Theory to Adversarial Attacks. CoRR (2019)
Arash Rahnama, André T. Nguyen, Edward Raff
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory. CoRR (2019)
Arash Rahnama, Meng Xia, Panos J. Antsaklis
A QSR-Dissipativity Based Design for Event-Triggered Networked Systems. IEEE Trans. Autom. Control. 64 (6) (2019)
Panos J. Antsaklis, Arash Rahnama
Control and Machine Intelligence for System Autonomy. J. Intell. Robotic Syst. 91 (1) (2018)
Meng Xia, Arash Rahnama, Shige Wang, Panos J. Antsaklis
Control Design Using Passivation for Stability and Performance. IEEE Trans. Autom. Control. 63 (9) (2018)
Arash Rahnama, Meng Xia, Panos J. Antsaklis
Passivity-Based Design for Event-Triggered Networked Control Systems. IEEE Trans. Autom. Control. 63 (9) (2018)
Arash Rahnama, Khalique Newaz, Panos J. Antsaklis, Tijana Milenkovic
Network-based protein structural classification. CoRR (2018)
Arash Rahnama, Abdullah Alchihabi, Vijay Gupta, Panos J. Antsaklis, Fatos T. Yarman-Vural
Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning. BIBE (2017)
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 (2017)
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)
Arash Rahnama, Panos J. Antsaklis
Resilient Learning-Based Control for Synchronization of Passive Multi-Agent Systems under Attack. CoRR (2017)
Arash Rahnama, Abdullah Alchihabi, Vijay Gupta, Panos J. Antsaklis, Fatos T. Yarman-Vural
Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning. CoRR (2017)
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)
Arash Rahnama, Meng Xia, Panos J. Antsaklis
A QSR-dissipativity and passivity based analysis of event-triggered networked control systems. CDC (2016)
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)
Meng Xia, Arash Rahnama, Shige Wang, Panos J. Antsaklis
On guaranteeing passivity and performance with a human controller. MED (2015)