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MartinPawel/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 foundation models.
Previously, I was a PhD stundent @ University of Tübingen (Germany) & interned @ JP Morgan AI Research (UK).

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  1. 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 6

  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 16 2

  3. 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 1 1

  4. carla-recourse/CARLA carla-recourse/CARLA Public

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

    Python 283 62

  5. c-chvae c-chvae Public

    Python 12 4

  6. OpenXAI OpenXAI Public

    Forked from AI4LIFE-GROUP/OpenXAI

    OpenXAI : Towards a Transparent Evaluation of Model Explanations

    JavaScript