Taha Eghtesad

According to our database, Taha Eghtesad authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

Hierarchical Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks.

Taha Eghtesad, Sirui Li, Yevgeniy Vorobeychik, Aron Laszka

CoRR, 2023

Bug Hunters' Perspectives on the Challenges and Benefits of the Bug Bounty Ecosystem.

Omer Akgul, Taha Eghtesad, Amit Elazari, Omprakash Gnawali, Jens Grossklags, Michelle L. Mazurek, Daniel Votipka, Aron Laszka

Proceedings of the 32nd USENIX Security Symposium, 2023

2022

Decentralized Computation Market for Stream Processing Applications.

Scott Eisele, Michael Wilbur, Taha Eghtesad, Kevin Silvergold, Fred Eisele, Ayan Mukhopadhyay, Aron Laszka, Abhishek Dubey

Proceedings of the IEEE International Conference on Cloud Engineering, 2022

2021

Safe and Private Forward-trading Platform for Transactive Microgrids.

Scott Eisele, Taha Eghtesad, Keegan Campanelli, Prakhar Agrawal, Aron Laszka, Abhishek Dubey

ACM Trans. Cyber Phys. Syst., 2021

2020

Blockchains for Transactive Energy Systems: Opportunities, Challenges, and Approaches.

Scott Eisele, Carlos A. Barreto, Abhishek Dubey, Xenofon D. Koutsoukos, Taha Eghtesad, Aron Laszka, Anastasia Mavridou

Computer, 2020

Cyber-Attacks and Mitigation in Blockchain Based Transactive Energy Systems.

Carlos A. Barreto, Taha Eghtesad, Scott Eisele, Aron Laszka, Abhishek Dubey, Xenofon D. Koutsoukos

Proceedings of the IEEE Conference on Industrial Cyberphysical Systems, 2020

Adversarial Deep Reinforcement Learning Based Adaptive Moving Target Defense.

Taha Eghtesad, Yevgeniy Vorobeychik, Aron Laszka

Proceedings of the Decision and Game Theory for Security - 11th International Conference, 2020

Mechanisms for outsourcing computation via a decentralized market.

Scott Eisele, Taha Eghtesad, Nicholas Troutman, Aron Laszka, Abhishek Dubey

Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems, 2020

2019

Deep Reinforcement Learning based Adaptive Moving Target Defense.

Taha Eghtesad, Yevgeniy Vorobeychik, Aron Laszka

CoRR, 2019