Aryaman Sinha's Projects
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.
The implementation of DCGAN using PyTorch to generate adversarial examples of pokemon.
Contains basic implementation of Data Structures like LL, Queue, Stack, BST
Cat vs Dog Classification using CNN
An adversarial example library for constructing attacks, building defenses, and benchmarking both
This repository contains the PyTorch implementation of the ICCV'17 Paper, "Deep Generative Filter for Motion Deblurring"
Devanagari handwritten character recognition using Convolutional Neural Network
Lab work of Digital Signal Processing.
Flask based visitor entry management web application
The implementation of the multiband filtering system to extract the five fundamental Brain Waves from given EEG Signal.
Tutorial codes for Image and Video Processing Course.
This repository is official implementation of paper titled "Adversarial Defense with Local Robust Principal Component Analysis and Wavelet Denoising"
This is specially created for all the work done by me during taking course of machine learning by andrew ng on coursera
Multimodal Brain Tumor Segmentation using BraTS 2018 Dataset.
Official Implementation of Paper "NOMARO: Defending against Adversarial Attacks by NOMA-Inspired Reconstruction Operation"
This contains normal coursework of Power System Operation and Control Laboratory
This Repository contains the PyTorch Implementation of the Spatially Transformed Adversarial Attack (ICLR'18).
It is small scale analysis of data of globular star cluster NGC 104.
This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)