Sequential Detection With Mutual Information Stopping Cost. - Vikram Krishnamurthy; Robert R. Bitmead; Michel Gevers; Erik Miehling (IEEE Trans. Signal Process., 2012)

A Supervisory Control Approach to Dynamic Cyber-Security. - Mohammad Rasouli 001; Erik Miehling; Demosthenis Teneketzis (GameSec, 2014)

Multilateral trades in interconnected power systems: a local public goods approach. - Erik Miehling; Demosthenis Teneketzis (HiCoNS, 2014)

Optimal Defense Policies for Partially Observable Spreading Processes on Bayesian Attack Graphs. - Erik Miehling; Mohammad Rasouli 001; Demosthenis Teneketzis (MTD@CCS, 2015)

A decentralized mechanism for computing competitive equilibria in deregulated electricity markets. - Erik Miehling; Demosthenis Teneketzis (ACC, 2016)

A dependency graph formalism for the dynamic defense of cyber networks. - Erik Miehling; Mohammad Rasouli 001; Demosthenis Teneketzis (GlobalSIP, 2017)

A Bayesian Multi-armed Bandit Approach for Identifying Human Vulnerabilities. - Erik Miehling; Baicen Xiao; Radha Poovendran; Tamer Basar (GameSec, 2018)

A POMDP Approach to the Dynamic Defense of Large-Scale Cyber Networks. - Erik Miehling; Mohammad Rasouli 001; Demosthenis Teneketzis (IEEE Trans. Inf. Forensics Secur., 2018)

Online Planning for Decentralized Stochastic Control with Partial History Sharing. - Kaiqing Zhang; Erik Miehling; Tamer Basar (ACC, 2019)

Strategic Inference with a Single Private Sample. - Erik Miehling; Roy Dong; Cédric Langbort; Tamer Basar (CDC, 2019)

Non-Cooperative Inverse Reinforcement Learning. - Xiangyuan Zhang; Kaiqing Zhang; Erik Miehling; Tamer Basar (NeurIPS, 2019)

Control-Theoretic Approaches to Cyber-Security. - Erik Miehling; Mohammad Rasouli 001; Demosthenis Teneketzis (Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, 2019)

Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games. - Muhammad Aneeq uz Zaman; Kaiqing Zhang; Erik Miehling; Tamer Basar (ACC, 2020)

Secure Contingency Prediction and Response for Cyber-Physical Systems. - Erik Miehling; Cedric Langbort; Tamer Basar (CCTA, 2020)

Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning. - Weichao Mao; Kaiqing Zhang; Erik Miehling; Tamer Basar (CDC, 2020)

Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games. - Muhammad Aneeq uz Zaman; Kaiqing Zhang; Erik Miehling; Tamer Basar (CDC, 2020)

Protecting Consumers Against Personalized Pricing: A Stopping Time Approach. - Roy Dong; Erik Miehling; Cedric Langbort (CoRR, 2020)

Monotonicity properties for two-action partially observable Markov decision processes on partially ordered spaces. - Erik Miehling; Demosthenis Teneketzis (Eur. J. Oper. Res., 2020)

A Data-Informed Approach for Analysis, Validation, and Identification of COVID-19 Models. - Sukru Yagiz Olmez; Jameson Mori; Erik Miehling; Tamer Basar; Rebecca L. Smith; Matthew West 001; Prashant G. Mehta (ACC, 2021)

Discrete-Time Linear-Quadratic Regulation via Optimal Transport. - Mathias Hudoba de Badyn; Erik Miehling; Dylan Janak; Behçet Açikmese; Mehran Mesbahi; Tamer Basar; John Lygeros; Roy S. Smith (CDC, 2021)

Modeling Presymptomatic Spread in Epidemics via Mean-Field Games. - Sukru Yagiz Olmez; Shubham Aggarwal; Jin-Won Kim; Erik Miehling; Tamer Basar; Matthew West 001; Prashant G. Mehta (ACC, 2022)

Approximate Testing in Uncertain Epidemic Processes. - Xiaoqi Bi; Erik Miehling; Carolyn L. Beck; Tamer Basar (CDC, 2022)

How does a Rational Agent Act in an Epidemic? - Sukru Yagiz Olmez; Shubham Aggarwal; Jin-Won Kim; Erik Miehling; Tamer Basar; Matthew West 001; Prashant G. Mehta (CDC, 2022)

Cookie Consent Has Disparate Impact on Estimation Accuracy. - Erik Miehling; Rahul Nair; Elizabeth Daly; Karthikeyan Natesan Ramamurthy; Robert Redmond (NeurIPS, 2023)

Reinforcement Learning for Non-stationary Discrete-Time Linear-Quadratic Mean-Field Games in Multiple Populations. - Muhammad Aneeq uz Zaman; Erik Miehling; Tamer Basar (Dyn. Games Appl., 2023)

Language Models in Dialogue: Conversational Maxims for Human-AI Interactions. - Erik Miehling; Manish Nagireddy; Prasanna Sattigeri; Elizabeth Daly; David Piorkowski; John T. Richards (EMNLP (Findings), 2024)

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 001; Subhajit Chaudhury; Pin-Yu Chen; Lamogha Chiazor; Elizabeth M. Daly; Rogério Abreu de Paula; et al. (CoRR, 2024)

CELL your Model: Contrastive Explanation Methods for Large Language Models. - Ronny Luss; Erik Miehling; Amit Dhurandhar (CoRR, 2024)

Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI. - Ambrish Rawat; Stefan Schoepf; Giulio Zizzo; Giandomenico Cornacchia; Muhammad Zaid Hameed; Kieran Fraser; Erik Miehling; Beat Buesser; Elizabeth M. Daly; Mark Purcell; Prasanna Sattigeri; Pin-Yu Chen; et al. (CoRR, 2024)

Evaluating the Prompt Steerability of Large Language Models. - Erik Miehling; Michael Desmond; Karthikeyan Natesan Ramamurthy; Elizabeth M. Daly; Pierre L. Dognin; Jesus Rios; Djallel Bouneffouf 001; Miao Liu 001 (CoRR, 2024)

Granite Guardian. - Inkit Padhi; Manish Nagireddy; Giandomenico Cornacchia; Subhajit Chaudhury; Tejaswini Pedapati; Pierre L. Dognin; Keerthiram Murugesan; Erik Miehling; Martin Santillan Cooper; Kieran Fraser; Giulio Zizzo; Muhammad Zaid Hameed; et al. (CoRR, 2024)

Programming Refusal with Conditional Activation Steering. - Bruce W. Lee; Inkit Padhi; Karthikeyan Natesan Ramamurthy; Erik Miehling; Pierre L. Dognin; Manish Nagireddy; Amit Dhurandhar (ICLR, 2025)

Evaluating the Prompt Steerability of Large Language Models. - Erik Miehling; Michael Desmond; Karthikeyan Natesan Ramamurthy; Elizabeth M. Daly; Kush R. Varshney; Eitan Farchi; Pierre Dognin; Jesus Rios; Djallel Bouneffouf 001; Miao Liu 001; Prasanna Sattigeri (NAACL (Long Papers), 2025)

Granite Guardian: Comprehensive LLM Safeguarding. - Inkit Padhi; Manish Nagireddy; Giandomenico Cornacchia; Subhajit Chaudhury; Tejaswini Pedapati; Pierre L. Dognin; Keerthiram Murugesan; Erik Miehling; Martín Santillán Cooper; Kieran Fraser; Giulio Zizzo; Muhammad Zaid Hameed; et al. (NAACL (Industry Track), 2025)

Agentic AI Needs a Systems Theory. - Erik Miehling; Karthikeyan Natesan Ramamurthy; Kush R. Varshney; Matthew Riemer; Djallel Bouneffouf 001; John T. Richards; Amit Dhurandhar; Elizabeth M. Daly; Michael Hind; Prasanna Sattigeri; Dennis Wei; Ambrish Rawat; et al. (CoRR, 2025)

Localizing Persona Representations in LLMs. - Celia Cintas; Miriam Rateike; Erik Miehling; Elizabeth Daly; Skyler Speakman (CoRR, 2025)

EvalAssist: A Human-Centered Tool for LLM-as-a-Judge. - Zahra Ashktorab; Elizabeth M. Daly; Erik Miehling; Werner Geyer; Martin Santillan Cooper; Tejaswini Pedapati; Michael Desmond; Qian Pan; Hyo Jin Do (CoRR, 2025)