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Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: StarstruckAchievement: Arctic Code Vault Contributor

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jinghanjia/README.md

Hi there 👋

This is Jinghan Jia!

Github Linkedin Gmail

Welcome to my Github page! I am Jinghan and I am currently finishing my Computer Engineering PhD degree at the Michigan State University!

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💻 Programming languages and tools:

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  1. sayakpaul/robustness-foundation-models sayakpaul/robustness-foundation-models Public

    This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.

    Jupyter Notebook 70 5

  2. OPTML-Group/Unlearn-Sparse OPTML-Group/Unlearn-Sparse Public

    [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

    Python 65 7

  3. OPTML-Group/CLAW-SAT OPTML-Group/CLAW-SAT Public

    [SANER 2023] CLAWSAT: Towards Both Robust and Accurate Code Models.

    Python 5 1

  4. OPTML-Group/Diffusion-MU-Attack OPTML-Group/Diffusion-MU-Attack Public

    The official implementation of ECCV'24 paper "To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now". This work introduces one fast and e…

    Python 60 3

  5. OPTML-Group/SOUL OPTML-Group/SOUL Public

    Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"

    Python 15 2

  6. OPTML-Group/WAGLE OPTML-Group/WAGLE Public

    Official repo for NeurIPS'24 paper "WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models"

    Python 10 3