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Erik Miehling
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2020 – today
- 2024
- [c20]Erik Miehling, Manish Nagireddy, Prasanna Sattigeri, Elizabeth Daly, David Piorkowski, John T. Richards:
Language Models in Dialogue: Conversational Maxims for Human-AI Interactions. EMNLP (Findings) 2024: 14420-14437 - [i16]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:
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR abs/2403.06009 (2024) - [i15]Erik Miehling, Manish Nagireddy, Prasanna Sattigeri, Elizabeth M. Daly, David Piorkowski, John T. Richards:
Language Models in Dialogue: Conversational Maxims for Human-AI Interactions. CoRR abs/2403.15115 (2024) - [i14]Ronny Luss, Erik Miehling, Amit Dhurandhar:
CELL your Model: Contrastive Explanation Methods for Large Language Models. CoRR abs/2406.11785 (2024) - [i13]Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik Miehling, Pierre L. Dognin, Manish Nagireddy, Amit Dhurandhar:
Programming Refusal with Conditional Activation Steering. CoRR abs/2409.05907 (2024) - [i12]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:
Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI. CoRR abs/2409.15398 (2024) - 2023
- [j4]Muhammad Aneeq uz Zaman
Reinforcement Learning for Non-stationary Discrete-Time Linear-Quadratic Mean-Field Games in Multiple Populations. Dyn. Games Appl. 13(1): 118-164 (2023) - [c19]Erik Miehling, Rahul Nair, Elizabeth Daly, Karthikeyan Natesan Ramamurthy, Robert Redmond:
Cookie Consent Has Disparate Impact on Estimation Accuracy. NeurIPS 2023 - 2022
- [c18]Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim
Modeling Presymptomatic Spread in Epidemics via Mean-Field Games. ACC 2022: 3648-3655 - [c17]Xiaoqi Bi, Erik Miehling, Carolyn L. Beck, Tamer Basar:
Approximate Testing in Uncertain Epidemic Processes. CDC 2022: 4339-4344 - [c16]Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim
How does a Rational Agent Act in an Epidemic? CDC 2022: 5536-5543 - [i11]Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta:
How does a Rational Agent Act in an Epidemic? CoRR abs/2206.02222 (2022) - 2021
- [c15]Sukru Yagiz Olmez, Jameson Mori, Erik Miehling, Tamer Basar, Rebecca L. Smith, Matthew West, Prashant G. Mehta
A Data-Informed Approach for Analysis, Validation, and Identification of COVID-19 Models. ACC 2021: 3138-3144 - [c14]Mathias Hudoba de Badyn
Discrete-Time Linear-Quadratic Regulation via Optimal Transport. CDC 2021: 3060-3065 - [i10]Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta:
Modeling Presymptomatic Spread in Epidemics via Mean-Field Games. CoRR abs/2111.10422 (2021) - 2020
- [j3]Erik Miehling
Monotonicity properties for two-action partially observable Markov decision processes on partially ordered spaces. Eur. J. Oper. Res. 282(3): 936-944 (2020) - [c13]Muhammad Aneeq uz Zaman
Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games. ACC 2020: 333-339 - [c12]Erik Miehling, Cedric Langbort, Tamer Basar:
Secure Contingency Prediction and Response for Cyber-Physical Systems. CCTA 2020: 998-1003 - [c11]Muhammad Aneeq uz Zaman
Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games. CDC 2020: 2278-2284 - [c10]Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Basar:
Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning. CDC 2020: 6124-6131 - [i9]Roy Dong, Erik Miehling, Cedric Langbort:
Protecting Consumers Against Personalized Pricing: A Stopping Time Approach. CoRR abs/2002.05346 (2020) - [i8]Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Basar:
Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games. CoRR abs/2003.13195 (2020) - [i7]Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Basar:
Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2004.01098 (2020) - [i6]Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Basar:
Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games. CoRR abs/2009.04350 (2020)
2010 – 2019
- 2019
- [c9]Kaiqing Zhang, Erik Miehling, Tamer Basar:
Online Planning for Decentralized Stochastic Control with Partial History Sharing. ACC 2019: 3544-3550 - [c8]Erik Miehling, Roy Dong, Cédric Langbort, Tamer Basar:
Strategic Inference with a Single Private Sample. CDC 2019: 2188-2193 - [c7]Xiangyuan Zhang, Kaiqing Zhang, Erik Miehling, Tamer Basar:
Non-Cooperative Inverse Reinforcement Learning. NeurIPS 2019: 9482-9493 - [p1]Erik Miehling, Mohammad Rasouli, Demosthenis Teneketzis:
Control-Theoretic Approaches to Cyber-Security. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense 2019: 12-28 - [i5]Kaiqing Zhang, Erik Miehling, Tamer Basar:
Online Planning for Decentralized Stochastic Control with Partial History Sharing. CoRR abs/1908.02357 (2019) - [i4]Erik Miehling, Roy Dong, Cédric Langbort, Tamer Basar:
Strategic Inference with a Single Private Sample. CoRR abs/1909.06057 (2019) - [i3]Xiangyuan Zhang, Kaiqing Zhang, Erik Miehling, Tamer Basar:
Non-Cooperative Inverse Reinforcement Learning. CoRR abs/1911.04220 (2019) - 2018
- [j2]Erik Miehling
A POMDP Approach to the Dynamic Defense of Large-Scale Cyber Networks. IEEE Trans. Inf. Forensics Secur. 13(10): 2490-2505 (2018) - [c6]Erik Miehling, Baicen Xiao, Radha Poovendran
A Bayesian Multi-armed Bandit Approach for Identifying Human Vulnerabilities. GameSec 2018: 521-539 - 2017
- [c5]Erik Miehling, Mohammad Rasouli, Demosthenis Teneketzis:
A dependency graph formalism for the dynamic defense of cyber networks. GlobalSIP 2017: 511-512 - 2016
- [c4]Erik Miehling, Demosthenis Teneketzis:
A decentralized mechanism for computing competitive equilibria in deregulated electricity markets. ACC 2016: 4107-4113 - [i2]Erik Miehling, Demosthenis Teneketzis:
A Decentralized Mechanism for Computing Competitive Equilibria in Deregulated Electricity Markets. CoRR abs/1603.03083 (2016) - 2015
- [c3]Erik Miehling, Mohammad Rasouli, Demosthenis Teneketzis:
Optimal Defense Policies for Partially Observable Spreading Processes on Bayesian Attack Graphs. MTD@CCS 2015: 67-76 - 2014
- [c2]Mohammad Rasouli, Erik Miehling, Demosthenis Teneketzis:
A Supervisory Control Approach to Dynamic Cyber-Security. GameSec 2014: 99-117 - [c1]Erik Miehling, Demosthenis Teneketzis:
Multilateral trades in interconnected power systems: a local public goods approach. HiCoNS 2014: 127-134 - [i1]Mohammad Rasouli, Erik Miehling, Demosthenis Teneketzis:
A Supervisory Control Approach to Dynamic Cyber-Security. CoRR abs/1409.0838 (2014) - 2012
- [j1]Vikram Krishnamurthy, Robert R. Bitmead, Michel Gevers, Erik Miehling:
Sequential Detection With Mutual Information Stopping Cost. IEEE Trans. Signal Process. 60(2): 700-714 (2012)
Coauthor Index
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