Preprints and working papers

• CELL your Model: Contrastive Explanation Methods for Large Language Models
  Ronny Luss, Erik Miehling, and Amit Dhurandhar
  [Preprint]
• Language Models in Dialogue: Conversational Maxims for Human-AI Interactions
  Erik Miehling, Manish Nagireddy, Prasanna Sattigeri, Elizabeth M. Daly, David Piorkowski, and John T. Richards
  [Preprint]
• Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations
  Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Kirushikesh DB, Rogério Abreu de Paula, Pierre Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Nishtha Madaan, Sameep Mehta, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspooon, Marcel Zalmanovici
  [Preprint]
• Protecting Consumers Against Personalized Pricing: A Stopping Time Approach
  Roy Dong, Erik Miehling, and Cedric Langbort
  [Preprint]

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Published papers

• Cookie Consent Has Disparate Impact on Estimation Accuracy
  Erik Miehling, Rahul Nair, Elizabeth M. Daly, Karthikeyan Natesan Ramamurthy, and Robert Redmond
  In Proc. 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
  Featured in BBC Science Focus [link]
• Reinforcement Learning for Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games in Multiple Populations
  Muhammad Aneeq Uz Zaman, Erik Miehling, and Tamer Başar
  Dynamic Games and Applications, volume 13, number 1, 2023
• How Does a Rational Agent Act in an Epidemic?
  S. Yagiz Olmez, Shubham Aggarwal, Jin Won Kim, Erik Miehling, Tamer Başar, Matthew West, and Prashant G. Mehta
  In Proc. 61st IEEE Conference on Decision and Control (CDC 2022)
• Modeling Presymptomatic Spread in Epidemics via Mean-Field Games
  S. Yagiz Olmez, Shubham Aggarwal, Jin Won Kim, Erik Miehling, Tamer Başar, Matthew West, and Prashant G. Mehta
  In Proc. 2022 American Control Conference (ACC 2021)
• Approximate Testing in Uncertain Epidemic Processes
  Xiaoqi Bi, Erik Miehling, Carolyn Beck, and Tamer Başar
  In Proc. 60th IEEE Conference on Decision and Control (CDC 2021)
  
• Discrete-Time Linear-Quadratic Regulation via Optimal Transport
  Mathias Hudoba de Badyn, Erik Miehling, Dylan Janak, Behçet Açıkmeşe, Mehran Mesbahi, Tamer Başar, John Lygeros, and Roy S. Smith
  In Proc. 60th IEEE Conference on Decision and Control (CDC 2021)
  
• A Data-Informed Approach for Analysis, Validation, and Identification of COVID-19 Models
  S. Yagiz Olmez, Jameson Mori, Erik Miehling, Tamer Başar, Rebecca L. Smith, Matthew West, and Prashant G. Mehta
  In Proc. 2021 American Control Conference (ACC 2021)
• Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning
  Weichao Mao, Kaiqing Zhang, Erik Miehling, and Tamer Başar
  In Proc. IEEE 59th Conference on Decision and Control (CDC 2020)
• Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games
  Muhammad Aneeq Uz Zaman, Kaiqing Zhang, Erik Miehling, and Tamer Başar
  In Proc. IEEE 59th Conference on Decision and Control (CDC 2020)
• Secure Contingency Prediction and Response for Cyber-Physical Systems
  Erik Miehling, Cedric Langbort, and Tamer Başar
  In Proc. 4th IEEE Conference on Control Technology and Applications (CCTA 2020)
• Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games
  Muhammad Aneeq Uz Zaman, Kaiqing Zhang, Erik Miehling, and Tamer Başar
  In Proc. 2020 American Control Conference (ACC 2020)
  
• Monotonicity Properties for Two-Action Partially Observable Markov Decision Processes on Partially Ordered Spaces
  Erik Miehling and Demos Teneketzis
  European Journal of Operational Research, volume 282, number 3, 2020
• Non-Cooperative Inverse Reinforcement Learning
  Xiangyuan Zhang, Kaiqing Zhang, Erik Miehling, and Tamer Başar
  In Proc. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019)
• Strategic Inference with a Single Private Sample
  Erik Miehling, Roy Dong, Cedric Langbort, and Tamer Başar
  In Proc. 58th IEEE Conference on Decision and Control (CDC 2019)
• Online Planning for Decentralized Stochastic Control with Partial History Sharing
  Kaiqing Zhang, Erik Miehling, and Tamer Başar
  In Proc. 2019 American Control Conference (ACC 2019)
• A Bayesian Multi-armed Bandit Approach for Identifying Human Vulnerabilities
  Erik Miehling, Baicen Xiao, Radha Poovendran, and Tamer Başar
  In Proc. 9th International Conference on Decision and Game Theory for Security (GameSec 2018)
• A POMDP Approach to the Dynamic Defense of Large-Scale Cyber Networks
  Erik Miehling, Mohammad Rasouli, and Demos Teneketzis
  IEEE Transactions on Information Forensics & Security, volume 13, number 10, 2018
• A Decentralized Mechanism for Computing Competitive Equilibria in Deregulated Electricity Markets
  Erik Miehling and Demos Teneketzis
  In Proc. 2016 American Control Conference (ACC 2016)
  Award: Best Speaker in Session
• Optimal Defense Policies for Partially Observable Spreading Processes on Bayesian Attack Graphs
  Erik Miehling, Mohammad Rasouli, and Demos Teneketzis
  In Proc. Second ACM Workshop on Moving Target Defense (MTD 2015)
• Multilateral Trades in Interconnected Power Systems: A Local Public Goods Approach
  Erik Miehling and Demos Teneketzis
  In Proc. 3rd International Conference on High Confidence Networked Systems (HiCoNS 2014)
  
• A Supervisory Control Approach to Dynamic Cyber-Security
  Mohammad Rasouli, Erik Miehling, and Demos Teneketzis
  In Proc. 5th International Conference on Decision and Game Theory for Security (GameSec 2014)
  
• Sequential Detection with Mutual Information Stopping Cost
  Vikram Krishnamurthy, Robert R Bitmead, Michel Gevers, and Erik Miehling
  IEEE Transactions on Signal Processing, volume 60, number 2, 2012

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Book chapters

• Control-Theoretic Approaches to Cyber-Security
  Erik Miehling, Mohammad Rasouli, and Demos Teneketzis
  In Adversarial and Uncertain Reasoning for Adaptive Cyber Defense (Editors: Sushil Jajodia, George Cybenko, Peng Liu, Cliff Wang, Michael Wellman), 2019
  
• A Scalable Decomposition Method for the Dynamic Defense of Cyber Networks
  Mohammad Rasouli, Erik Miehling, and Demos Teneketzis
  In Game Theory for Security Risk Management: From Theory to Practice (Editors: Stefan Rass, Stefan Schauer), 2018