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George J. Pappas

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Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss

Feb 08, 2024
Ingvar Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni

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Multi-Modal Conformal Prediction Regions by Optimizing Convex Shape Templates

Dec 12, 2023
Renukanandan Tumu, Matthew Cleaveland, Rahul Mangharam, George J. Pappas, Lars Lindemann

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Data-Driven Modeling and Verification of Perception-Based Autonomous Systems

Dec 11, 2023
Thomas Waite, Alexander Robey, Hassani Hamed, George J. Pappas, Radoslav Ivanov

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Jailbreaking Black Box Large Language Models in Twenty Queries

Oct 13, 2023
Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, Eric Wong

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SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Oct 13, 2023
Alexander Robey, Eric Wong, Hamed Hassani, George J. Pappas

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A Tutorial on the Non-Asymptotic Theory of System Identification

Sep 07, 2023
Ingvar Ziemann, Anastasios Tsiamis, Bruce Lee, Yassir Jedra, Nikolai Matni, George J. Pappas

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Safety Filter Design for Neural Network Systems via Convex Optimization

Aug 28, 2023
Shaoru Chen, Kong Yao Chee, Nikolai Matni, M. Ani Hsieh, George J. Pappas

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Robust Localization of Aerial Vehicles via Active Control of Identical Ground Vehicles

Aug 13, 2023
Igor Spasojevic, Xu Liu, Ankit Prabhu, Alejandro Ribeiro, George J. Pappas, Vijay Kumar

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