Taha Eghtesad

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All published works

Action	Title	Year	Authors
+	Bug Hunters' Perspectives on the Challenges and Benefits of the Bug Bounty Ecosystem	2023	Ömer Akgül Taha Eghtesad Amit Elazari Omprakash Gnawali Jens Großklags Michelle L. Mazurek Daniel Votipka Áron Lászka
+	Hierarchical Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks	2023	Taha Eghtesad Sirui Li Yevgeniy Vorobeychik Áron Lászka
+ PDF Chat	Safe and Private Forward-trading Platform for Transactive Microgrids	2020	Scott Eisele Taha Eghtesad Keegan Campanelli Prakhar Agrawal Áron Lászka Abhishek Dubey
+	Mechanisms for outsourcing computation via a decentralized market	2020	Scott Eisele Taha Eghtesad Nicholas Troutman Áron Lászka Abhishek Dubey
+	Mechanisms for Outsourcing Computation via a Decentralized Market	2020	Scott Eisele Taha Eghtesad Nicholas Troutman Áron Lászka Abhishek Dubey
+ PDF Chat	Adversarial Deep Reinforcement Learning Based Adaptive Moving Target Defense	2020	Taha Eghtesad Yevgeniy Vorobeychik Áron Lászka
+	Mechanisms for Outsourcing Computation via a Decentralized Market	2020	Scott Eisele Taha Eghtesad Nicholas Troutman Áron Lászka Abhishek Dubey
+	Deep Reinforcement Learning based Adaptive Moving Target Defense.	2019	Taha Eghtesad Yevgeniy Vorobeychik Áron Lászka
+	Adversarial Deep Reinforcement Learning based Adaptive Moving Target Defense.	2019	Taha Eghtesad Yevgeniy Vorobeychik Áron Lászka
+	Safe and Private Forward-Trading Platform for Transactive Microgrids	2019	Scott Eisele Taha Eghtesad Keegan Campanelli Prakhar Agrawal Áron Lászka Abhishek Dubey
+	Adversarial Deep Reinforcement Learning based Adaptive Moving Target Defense	2019	Taha Eghtesad Yevgeniy Vorobeychik Áron Lászka
+	Safe and Private Forward-Trading Platform for Transactive Microgrids	2019	Scott Eisele Taha Eghtesad Keegan Campanelli Prakhar Agrawal Áron Lászka Abhishek Dubey

Common Coauthors

Coauthor	Papers Together
Áron Lászka	12
Scott Eisele	6
Abhishek Dubey	6
Yevgeniy Vorobeychik	5
Nicholas Troutman	3
Keegan Campanelli	3
Prakhar Agrawal	2
Sirui Li	1
Michelle L. Mazurek	1
Prakhar Agrawal	1
Omprakash Gnawali	1
Jens Großklags	1
Daniel Votipka	1
Ömer Akgül	1
Amit Elazari	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Decentralized P2P Energy Trading Under Network Constraints in a Low-Voltage Network	2018	Jaysson Guerrero Archie C. Chapman Gregor Verbič	2
+	Deep reinforcement learning with double Q-Learning	2016	Hado van Hasselt Arthur Guez David Silver	2
+ PDF Chat	Increasing Smart Meter Privacy Through Energy Harvesting and Storage Devices	2013	Onur Tan Deniz Gündüz H. Vincent Poor	2
+ PDF Chat	Bitcoin over Tor isn't a Good Idea	2015	Alex Biryukov Ivan Pustogarov	2
+	Playing Adaptively Against Stealthy Opponents: A Reinforcement Learning Strategy for the FlipIt Security Game.	2019	Lisa Oakley Alina Oprea	2
+ PDF Chat	SolidWorx: A Resilient and Trustworthy Transactive Platform for Smart and Connected Communities	2018	Scott Eisele Áron Lászka Anastasia Mavridou Abhishek Dubey	2
+ PDF Chat	Providing privacy, safety, and security in IoT-based transactive energy systems using distributed ledgers	2017	Áron Lászka Abhishek Dubey Michael Walker Doug Schmidt	2
+	Secondary Frequency and Voltage Control of Islanded Microgrids via Distributed Averaging	2015	John W. Simpson-Porco Qobad Shafiee Florian Dörfler Juan C. Vásquez Josep M. Guerrero Francesco Bullo	2
+	Optimal Timing of Moving Target Defense: A Stackelberg Game Model	2019	Henger Li Zizhan Zheng	1
+	Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning	2019	Liang Tong Áron Lászka Chao Yan Ning Zhang Yevgeniy Vorobeychik	1
+	Analysis of Docker Security	2015	Thanh Nhan Bui	1
+ PDF Chat	Deep Reinforcement Learning for Cyber Security	2021	Thanh Thi Nguyen Vijay Janapa Reddi	1
+	TensorFlow: A system for large-scale machine learning	2016	Martı́n Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jay B. Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard	1
+	A scalable verification solution for blockchains	2019	Jason Teutsch Christian Reitwießner	1
+	Deep Reinforcement Learning based Adaptive Moving Target Defense.	2019	Taha Eghtesad Yevgeniy Vorobeychik Áron Lászka	1
+ PDF Chat	Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning	2020	Liang Tong Áron Lászka Chao Yan Ning Zhang Yevgeniy Vorobeychik	1
+ PDF Chat	Optimal Timing of Moving Target Defense: A Stackelberg Game Model	2019	Henger Li Zizhan Zheng	1
+	OpenAI Gym	2016	Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba	1
+	Mechanisms for outsourcing computation via a decentralized market	2020	Scott Eisele Taha Eghtesad Nicholas Troutman Áron Lászka Abhishek Dubey	1
+	Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense	2020	Sailik Sengupta Subbarao Kambhampati	1
+	Dueling Network Architectures for Deep Reinforcement Learning	2015	Ziyu Wang Tom Schaul Matteo Hessel Hado van Hasselt Marc Lanctot Nando de Freitas	1
+	How to Leak a Secret	2001	Ronald L. Rivest Adi Shamir Yael Tauman	1
+	Prioritized Experience Replay	2015	Tom Schaul John Quan Ioannis Antonoglou David Silver	1
+ PDF Chat	Hijacking Bitcoin: Routing Attacks on Cryptocurrencies	2017	Maria Apostolaki Aviv Zohar Laurent Vanbever	1
+	A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning	2017	Marc Lanctot Vinícius Zambaldi Audrūnas Gruslys Angeliki Lazaridou Karl Tuyls Julien Pérolat David Silver Thore Graepel	1
+ PDF Chat	An Analysis of Anonymity in the Bitcoin System	2011	Fergal Reid Martin Harrigan	1
+	Group signatures	1991	David Chaum Eugène van Heyst	1
+	Markov Decision Process to Enforce Moving Target Defence Policies	2019	Jianjun Zheng Akbar Siami Namin	1