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as791/README.md

Hi 👋, I'm Aryaman Sinha



About Me

  • 🔭 Things I'm currently working on:
    • Combining Language Models and Computer Vision tasks
  • 🌱 I’m currently learning:
    • About Language Models
  • 👯 I’m looking to collaborate on:
    • Computer Vision Projects
  • 💬 Ask me about:
    • Computer Vision
    • Machine Learning & Deep Learning
    • Adversarial Attacks & Defenses
    • Data Engineering
  • 📘 Check out my content:
  • 👨🏻‍💻 Know more about me at @as791

GitHub Stats

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  1. NOMARO_defense NOMARO_defense Public

    Official Implementation of Paper "NOMARO: Defending against Adversarial Attacks by NOMA-Inspired Reconstruction Operation"

    Python 3 1

  2. Local-RPCA-Defense Local-RPCA-Defense Public

    This repository is official implementation of paper titled "Adversarial Defense with Local Robust Principal Component Analysis and Wavelet Denoising"

    MATLAB 2 1

  3. Adversarial-Example-Attack-and-Defense Adversarial-Example-Attack-and-Defense Public

    This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.

    Jupyter Notebook 124 27

  4. Multimodal-Brain-Tumor-Segmentation Multimodal-Brain-Tumor-Segmentation Public

    Multimodal Brain Tumor Segmentation using BraTS 2018 Dataset.

    Jupyter Notebook 47 17

  5. ZOO_Attack_PyTorch ZOO_Attack_PyTorch Public

    This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)

    Python 39 14

  6. stAdv-PyTorch stAdv-PyTorch Public

    This Repository contains the PyTorch Implementation of the Spatially Transformed Adversarial Attack (ICLR'18).

    Jupyter Notebook 9 1