- π Things I'm currently working on:
- Building scalable backend & data platform services
- Applying ML / GenAI techniques (retrieval, embeddings, evaluation) in production systems
- π± Iβm currently learning:
- Large Language Model systems, inference patterns, and reliability
- π― Iβm looking to collaborate on:
- Applied ML, GenAI, and data-intensive backend projects
- π¬ Ask me about:
- Backend Engineering (Java, Spring, Microservices)
- Distributed Systems & Data Engineering
- Machine Learning & Deep Learning (applied)
- Adversarial Attacks, Defenses, and ML robustness
- π Check out my content:
- Articles at @as791
- Publications at google scholar
- π¨π»βπ» Know more about me at @as791
-
Observe.AI
- Bangalore, India
- https://sites.google.com/view/as791/home
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NOMARO_defense
NOMARO_defense PublicOfficial Implementation of Paper "NOMARO: Defending against Adversarial Attacks by NOMA-Inspired Reconstruction Operation"
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Local-RPCA-Defense
Local-RPCA-Defense PublicThis repository is official implementation of paper titled "Adversarial Defense with Local Robust Principal Component Analysis and Wavelet Denoising"
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Adversarial-Example-Attack-and-Defense
Adversarial-Example-Attack-and-Defense PublicThis 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.
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Multimodal-Brain-Tumor-Segmentation
Multimodal-Brain-Tumor-Segmentation PublicMultimodal Brain Tumor Segmentation using BraTS 2018 Dataset.
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ZOO_Attack_PyTorch
ZOO_Attack_PyTorch PublicThis repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)
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stAdv-PyTorch
stAdv-PyTorch PublicThis Repository contains the PyTorch Implementation of the Spatially Transformed Adversarial Attack (ICLR'18).
If the problem persists, check the GitHub status page or contact support.


