Erik Miehling - RankMe

57 papers A* 3C 5Journal 32Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Steerability 360: A Toolkit for Steering Large Language Models. CoRR Erik Miehling, Karthikeyan Natesan Ramamurthy, Praveen Venkateswaran, Irene Ko, Pierre L. Dognin, Moninder Singh, Tejaswini Pedapati, Avinash Balakrishnan, Matthew Riemer, Dennis Wei, Inge Vejsbjerg, Elizabeth M. Daly, Kush R. Varshney
2025	J	`jnl`	Agentic AI Needs a Systems Theory. CoRR Erik Miehling, Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Matthew Riemer, Djallel Bouneffouf, John T. Richards, Amit Dhurandhar, Elizabeth M. Daly, Michael Hind, Prasanna Sattigeri, Dennis Wei, Ambrish Rawat, Jasmina Gajcin, Werner Geyer
2025	J	`jnl`	EvalAssist: A Human-Centered Tool for LLM-as-a-Judge. CoRR Zahra Ashktorab, Elizabeth M. Daly, Erik Miehling, Werner Geyer, Martin Santillan Cooper, Tejaswini Pedapati, Michael Desmond, Qian Pan, Hyo Jin Do
2025	—	`conf`	Evaluating the Prompt Steerability of Large Language Models. NAACL (Long Papers) Erik Miehling, Michael Desmond, Karthikeyan Natesan Ramamurthy, Elizabeth M. Daly, Kush R. Varshney, Eitan Farchi, Pierre L. Dognin, Jesus Rios, Djallel Bouneffouf, Miao Liu, Prasanna Sattigeri
2025	J	`jnl`	Generate, Evaluate, Iterate: Synthetic Data for Human-in-the-Loop Refinement of LLM Judges. CoRR Hyo Jin Do, Zahra Ashktorab, Jasmina Gajcin, Erik Miehling, Martín Santillán Cooper, Qian Pan, Elizabeth M. Daly, Werner Geyer
2025	—	`conf`	Granite Guardian: Comprehensive LLM Safeguarding. NAACL (Industry Track) 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, Mark Purcell, Michael Desmond, Qian Pan, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri
2025	J	`jnl`	ICX360: In-Context eXplainability 360 Toolkit. CoRR Dennis Wei, Ronny Luss, Xiaomeng Hu, Lucas Monteiro Paes, Pin-Yu Chen, Karthikeyan Natesan Ramamurthy, Erik Miehling, Inge Vejsbjerg, Hendrik Strobelt
2025	J	`jnl`	Interpreting LLM-as-a-Judge Policies via Verifiable Global Explanations. CoRR Jasmina Gajcin, Erik Miehling, Rahul Nair, Elizabeth Daly, Radu Marinescu, Seshu Tirupathi
2025	J	`jnl`	Language Models Coupled with Metacognition Can Outperform Reasoning Models. CoRR Vedant Khandelwal, Francesca Rossi, Keerthiram Murugesan, Erik Miehling, Murray Campbell, Karthikeyan Natesan Ramamurthy, Lior Horesh
2025	J	`jnl`	Localizing Persona Representations in LLMs. CoRR Celia Cintas, Miriam Rateike, Erik Miehling, Elizabeth Daly, Skyler Speakman
2025	A*	`conf`	Programming Refusal with Conditional Activation Steering. ICLR Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik Miehling, Pierre L. Dognin, Manish Nagireddy, Amit Dhurandhar
2025	—	`conf`	Synthetic Data for Evaluation: Supporting LLM-as-a-Judge Workflows with EvalAssist. EMNLP (System Demonstrations) Martín Santillán Cooper, Zahra Ashktorab, Hyo Jin Do, Erik Miehling, Werner Geyer, Jasmina Gajcin, Elizabeth M. Daly, Qian Pan, Michael Desmond
2025	J	`jnl`	The Effectiveness of Approximate Regularized Replay for Efficient Supervised Fine-Tuning of Large Language Models. CoRR Matthew Riemer, Erik Miehling, Miao Liu, Djallel Bouneffouf, Murray Campbell
2025	J	`jnl`	Who Sees the Risk? Stakeholder Conflicts and Explanatory Policies in LLM-based Risk Assessment. CoRR Srishti Yadav, Jasmina Gajcin, Erik Miehling, Elizabeth Daly
2024	J	`jnl`	Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI. CoRR 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, Kush R. Varshney
2024	J	`jnl`	CELL your Model: Contrastive Explanation Methods for Large Language Models. CoRR Ronny Luss, Erik Miehling, Amit Dhurandhar
2024	J	`jnl`	Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR 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, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, 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 Witherspoon, Marcel Zalmanovici
2024	J	`jnl`	Evaluating the Prompt Steerability of Large Language Models. CoRR Erik Miehling, Michael Desmond, Karthikeyan Natesan Ramamurthy, Elizabeth M. Daly, Pierre L. Dognin, Jesus Rios, Djallel Bouneffouf, Miao Liu
2024	J	`jnl`	Granite Guardian. CoRR 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, Mark Purcell, Michael Desmond, Qian Pan, Zahra Ashktorab, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri
2024	—	`conf`	Language Models in Dialogue: Conversational Maxims for Human-AI Interactions. EMNLP (Findings) Erik Miehling, Manish Nagireddy, Prasanna Sattigeri, Elizabeth Daly, David Piorkowski, John T. Richards
2024	J	`jnl`	Language Models in Dialogue: Conversational Maxims for Human-AI Interactions. CoRR Erik Miehling, Manish Nagireddy, Prasanna Sattigeri, Elizabeth M. Daly, David Piorkowski, John T. Richards
2024	J	`jnl`	Programming Refusal with Conditional Activation Steering. CoRR Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik Miehling, Pierre L. Dognin, Manish Nagireddy, Amit Dhurandhar
2023	A*	`conf`	Cookie Consent Has Disparate Impact on Estimation Accuracy. NeurIPS Erik Miehling, Rahul Nair, Elizabeth Daly, Karthikeyan Natesan Ramamurthy, Robert Redmond
2023	J	`jnl`	Reinforcement Learning for Non-stationary Discrete-Time Linear-Quadratic Mean-Field Games in Multiple Populations. Dyn. Games Appl. Muhammad Aneeq uz Zaman, Erik Miehling, Tamer Basar
2022	—	`conf`	Approximate Testing in Uncertain Epidemic Processes. CDC Xiaoqi Bi, Erik Miehling, Carolyn L. Beck, Tamer Basar
2022	—	`conf`	How does a Rational Agent Act in an Epidemic? CDC Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta
2022	J	`jnl`	How does a Rational Agent Act in an Epidemic? CoRR Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta
2022	C	`conf`	Modeling Presymptomatic Spread in Epidemics via Mean-Field Games. ACC Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta
2021	C	`conf`	A Data-Informed Approach for Analysis, Validation, and Identification of COVID-19 Models. ACC Sukru Yagiz Olmez, Jameson Mori, Erik Miehling, Tamer Basar, Rebecca L. Smith, Matthew West, Prashant G. Mehta
2021	—	`conf`	Discrete-Time Linear-Quadratic Regulation via Optimal Transport. CDC Mathias Hudoba de Badyn, Erik Miehling, Dylan Janak, Behçet Açikmese, Mehran Mesbahi, Tamer Basar, John Lygeros, Roy S. Smith
2021	J	`jnl`	Modeling Presymptomatic Spread in Epidemics via Mean-Field Games. CoRR Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta
2020	C	`conf`	Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games. ACC Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Basar
2020	J	`jnl`	Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games. CoRR Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Basar
2020	—	`conf`	Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning. CDC Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Basar
2020	J	`jnl`	Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning. CoRR Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Basar
2020	J	`jnl`	Monotonicity properties for two-action partially observable Markov decision processes on partially ordered spaces. Eur. J. Oper. Res. Erik Miehling, Demosthenis Teneketzis
2020	J	`jnl`	Protecting Consumers Against Personalized Pricing: A Stopping Time Approach. CoRR Roy Dong, Erik Miehling, Cedric Langbort
2020	—	`conf`	Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games. CDC Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Basar
2020	J	`jnl`	Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games. CoRR Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Basar
2020	—	`conf`	Secure Contingency Prediction and Response for Cyber-Physical Systems. CCTA Erik Miehling, Cedric Langbort, Tamer Basar
2019	—	`ch.`	Control-Theoretic Approaches to Cyber-Security. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense Erik Miehling, Mohammad Rasouli, Demosthenis Teneketzis
2019	A*	`conf`	Non-Cooperative Inverse Reinforcement Learning. NeurIPS Xiangyuan Zhang, Kaiqing Zhang, Erik Miehling, Tamer Basar
2019	J	`jnl`	Non-Cooperative Inverse Reinforcement Learning. CoRR Xiangyuan Zhang, Kaiqing Zhang, Erik Miehling, Tamer Basar
2019	C	`conf`	Online Planning for Decentralized Stochastic Control with Partial History Sharing. ACC Kaiqing Zhang, Erik Miehling, Tamer Basar
2019	J	`jnl`	Online Planning for Decentralized Stochastic Control with Partial History Sharing. CoRR Kaiqing Zhang, Erik Miehling, Tamer Basar
2019	—	`conf`	Strategic Inference with a Single Private Sample. CDC Erik Miehling, Roy Dong, Cédric Langbort, Tamer Basar
2019	J	`jnl`	Strategic Inference with a Single Private Sample. CoRR Erik Miehling, Roy Dong, Cédric Langbort, Tamer Basar
2018	—	`conf`	A Bayesian Multi-armed Bandit Approach for Identifying Human Vulnerabilities. GameSec Erik Miehling, Baicen Xiao, Radha Poovendran, Tamer Basar
2018	J	`jnl`	A POMDP Approach to the Dynamic Defense of Large-Scale Cyber Networks. IEEE Trans. Inf. Forensics Secur. Erik Miehling, Mohammad Rasouli, Demosthenis Teneketzis
2017	—	`conf`	A dependency graph formalism for the dynamic defense of cyber networks. GlobalSIP Erik Miehling, Mohammad Rasouli, Demosthenis Teneketzis
2016	J	`jnl`	A Decentralized Mechanism for Computing Competitive Equilibria in Deregulated Electricity Markets. CoRR Erik Miehling, Demosthenis Teneketzis
2016	C	`conf`	A decentralized mechanism for computing competitive equilibria in deregulated electricity markets. ACC Erik Miehling, Demosthenis Teneketzis
2015	—	`conf`	Optimal Defense Policies for Partially Observable Spreading Processes on Bayesian Attack Graphs. MTD@CCS Erik Miehling, Mohammad Rasouli, Demosthenis Teneketzis
2014	—	`conf`	A Supervisory Control Approach to Dynamic Cyber-Security. GameSec Mohammad Rasouli, Erik Miehling, Demosthenis Teneketzis
2014	J	`jnl`	A Supervisory Control Approach to Dynamic Cyber-Security. CoRR Mohammad Rasouli, Erik Miehling, Demosthenis Teneketzis
2014	—	`conf`	Multilateral trades in interconnected power systems: a local public goods approach. HiCoNS Erik Miehling, Demosthenis Teneketzis
2012	J	`jnl`	Sequential Detection With Mutual Information Stopping Cost. IEEE Trans. Signal Process. Vikram Krishnamurthy, Robert R. Bitmead, Michel Gevers, Erik Miehling