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MartinPawelczyk/README.md

Hi there!

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Hi! I am Martin - a Postdoc @ Harvard University.
I work on unlearning as well as privacy & robustness issues of large language models.
Previously, I was a PhD student @ University of Tübingen (Germany), a fellow @ MPI for Security and Privacy and I interned @ JP Morgan AI Research (UK).

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  1. OpenUnlearn OpenUnlearn Public

    "Machine Unlearning Fails to Remove Data Poisoning Attacks". Pawelczyk, M., Di, J., Lu, Y., Sekhari, A., Gautam, K., Seth, N.; ICLR 2025.

    Python 4

  2. In-Context-Unlearning In-Context-Unlearning Public

    "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.

    Jupyter Notebook 28 2

  3. carla-recourse/CARLA carla-recourse/CARLA Public

    CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

    Python 295 65

  4. CounterfactualDistanceAttack CounterfactualDistanceAttack Public

    "On the Privacy Risks of Algorithmic Recourse". Martin Pawelczyk, Himabindu Lakkaraju* and Seth Neel*. In International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR, 2023.

    Jupyter Notebook 5

  5. OpenXAI OpenXAI Public

    Forked from AI4LIFE-GROUP/OpenXAI

    OpenXAI : Towards a Transparent Evaluation of Model Explanations

    JavaScript

  6. ProbabilisticallyRobustRecourse ProbabilisticallyRobustRecourse Public

    Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness. M. Pawelczyk, T. Datta, J. v.d Heuvel, G. Kasneci, H. Lakkaraju. International Conference on Learning Repr…

    Python 2 1