Deep Reinforcement Learning based Adaptive Moving Target Defense. - Taha Eghtesad; Yevgeniy Vorobeychik; Aron Laszka (CoRR, 2019)

Mechanisms for outsourcing computation via a decentralized market. - Scott Eisele; Taha Eghtesad; Nicholas Troutman; Aron Laszka; Abhishek Dubey (DEBS, 2020)

Adversarial Deep Reinforcement Learning Based Adaptive Moving Target Defense. - Taha Eghtesad; Yevgeniy Vorobeychik; Aron Laszka (GameSec, 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 (ICPS, 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)

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)

Decentralized Computation Market for Stream Processing Applications. - Scott Eisele; Michael Wilbur; Taha Eghtesad; Kevin Silvergold; Fred Eisele; Ayan Mukhopadhyay; Aron Laszka; Abhishek Dubey (IC2E, 2022)

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 (USENIX Security Symposium, 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)

Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks. - Taha Eghtesad; Sirui Li; Yevgeniy Vorobeychik; Aron Laszka (AAMAS, 2024)