kishordgupta Goto Github PK
Name: Kishor Datta Gupta
Type: User
Company: @Silicon-Orchard
Bio: Working as software Engineer Intern at Biotronik US
Twitter: kishordgupta
Location: Memphis
Blog: www.kishordgupta.com
Name: Kishor Datta Gupta
Type: User
Company: @Silicon-Orchard
Bio: Working as software Engineer Intern at Biotronik US
Twitter: kishordgupta
Location: Memphis
Blog: www.kishordgupta.com
2012-13
Predict access result based on past result
A pytorch implementations of Adversarial attacks and utils
CIFAR 10 ADVERSARIAL SAMPLES
对抗样本
A Toolbox for Adversarial Robustness Research
Camera Meme Setter
Android webview app for page containing youtube video fullscreen play without flashplayer
Android Endless Runner Game
Android Image based quiz app
AndroidSlotMachine
A curated list of papers of adversarial examples and defense methods.
This Projects aim to evaluate the efficiency of Stylometry approach as an authentication method. Stylometric analysis research has been done for author identification and there is significant progress to recognize an author based on their written texts. In this project, we tried to detect differences between writing styles on the same topic provided by a set of users and we test that these differences are enough to use for an authentication system or not.
bayou distributed system implementation in C for meeting room scheduler
Targeted Adversarial Examples for Black Box Audio Systems
BPDA adversarial attack on PGD defense
Android candy crash game where candy comes from gallery image
The census transform (CT) is an image operator that associates to each pixel of a grayscale image a binary string, encoding whether the pixel has smaller intensity than each of its neighbours, one for each bit. It is a non-parametric transform that depends only on relative ordering of intensities, and not on the actual values of intensity, making it invariant with respect to monotonic variations of illumination, and it behaves well in presence of multimodal distributions of intensity, e.g. along object boundaries.[1] It has applications in computer vision, and it is commonly used in visual correspondence problems such as optical flow calculation and disparity estimation.[2] The census transform is related to the rank transform, that associates to each pixel the number of neighbouring pixels with higher intensity than the pixel itself, and was introduced in the same paper.[3] Algorithm The most common version of the census transform uses a 3x3 window, comparing each pixel p {\displaystyle p} p with all its 8-connected neighbours with a function ξ {\displaystyle \xi } \xi defined as ξ ( p , p ′ ) = { 0 if p > p ′ 1 if p ≤ p ′ . {\displaystyle \xi (p,p')={\begin{cases}0&{\text{if }}p>p'\\1&{\text{if }}p\leq p'\\\end{cases}}.} {\displaystyle \xi (p,p')={\begin{cases}0&{\text{if }}p>p'\\1&{\text{if }}p\leq p'\\\end{cases}}.} The results of these comparisons are concatenated and the value of the transform is an 8-bit value, that can be easily encoded in a byte. 124 74 32 124 64 18 157 116 84 ⟶ 1 1 0 1 x 0 1 1 1 ⟶ 11010111 {\displaystyle {\begin{array}{|c|c||c|}\hline 124&74&32\\\hline 124&64&18\\\hline 157&116&84\\\hline \end{array}}\longrightarrow {\begin{array}{|c|c|c|}\hline 1&1&0\\\hline 1&x&0\\\hline 1&1&1\\\hline \end{array}}\longrightarrow 11010111} {\displaystyle {\begin{array}{|c|c||c|}\hline 124&74&32\\\hline 124&64&18\\\hline 157&116&84\\\hline \end{array}}\longrightarrow {\begin{array}{|c|c|c|}\hline 1&1&0\\\hline 1&x&0\\\hline 1&1&1\\\hline \end{array}}\longrightarrow 11010111} Similarity between images is determined by comparing the values of the census transform for corresponding pixels, using the Hamming distance.[3] Several variations of the algorithm exist, using different size of the window, order of the neighbours in the pattern (row-wise, clockwise, counterclockwise), comparison operator (greater, greater or equal, lesser, lesser or equal).[4] An extension of the algorithm uses a three-way comparison that allows to represent similar pixels, whose intensity difference is smaller than a tolerance parameter ϵ {\displaystyle \epsilon } \epsilon , defined as[5] ξ ( p , p ′ ) = { 0 if p − p ′ > ϵ 1 if | p − p ′ | ≤ ϵ 2 if p ′ − p > ϵ {\displaystyle \xi (p,p')={\begin{cases}0&{\text{if }}p-p'>\epsilon \\1&{\text{if }}|p-p'|\leq \epsilon \\2&{\text{if }}p'-p>\epsilon \end{cases}}} {\displaystyle \xi (p,p')={\begin{cases}0&{\text{if }}p-p'>\epsilon \\1&{\text{if }}|p-p'|\leq \epsilon \\2&{\text{if }}p'-p>\epsilon \end{cases}}} whose result can be encoded with two bits for each neighbour, thus doubling the size of the pattern for each pixel. 124 74 32 124 64 18 157 116 84 ⟶ 2 1 0 2 x 0 2 2 2 ⟶ 21020222 {\displaystyle {\begin{array}{|c|c||c|}\hline 124&74&32\\\hline 124&64&18\\\hline 157&116&84\\\hline \end{array}}\longrightarrow {\begin{array}{|c|c|c|}\hline 2&1&0\\\hline 2&x&0\\\hline 2&2&2\\\hline \end{array}}\longrightarrow 21020222} {\displaystyle {\begin{array}{|c|c||c|}\hline 124&74&32\\\hline 124&64&18\\\hline 157&116&84\\\hline \end{array}}\longrightarrow {\begin{array}{|c|c|c|}\hline 2&1&0\\\hline 2&x&0\\\hline 2&2&2\\\hline \end{array}}\longrightarrow 21020222} See also
CIDMP: Completely Interpretable Detection of Malaria Parasite in Red Blood Cells using Lower-dimensional Feature Space
Exercises for comp4432
Top computer science conference deadlines for AI, Computer vision, HCI, Automation and security
Local PC control over lan via C#
Implement basic machine learning tasks, such as classification, regression, clustering, etc.
cut the rope type game for android box2d
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.