• 🔭 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:
  • Articles at@as791
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• 👨🏻‍💻 Know more about me at@as791

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1. NOMARO_defenseNOMARO_defensePublic

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

   Python 3 1

2. Local-RPCA-DefenseLocal-RPCA-DefensePublic

   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-DefenseAdversarial-Example-Attack-and-DefensePublic

   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 126 27

4. Multimodal-Brain-Tumor-SegmentationMultimodal-Brain-Tumor-SegmentationPublic

   Multimodal Brain Tumor Segmentation using BraTS 2018 Dataset.

   Jupyter Notebook 48 17

5. ZOO_Attack_PyTorchZOO_Attack_PyTorchPublic

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

   Python 41 15

6. stAdv-PyTorchstAdv-PyTorchPublic

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

   Jupyter Notebook 10 1