Jigsaw: Efficient, Low-Effort Mashup Isolation
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Machine Learning in the Browser
Machine Learning in the Browser The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:38811507 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Machine Learning in the Browser a thesis presented by Tomas Reimers to The Department of Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Arts in the subject of Computer Science Harvard University Cambridge, Massachusetts March 2017 Contents 1 Introduction 3 1.1 Background . .3 1.2 Motivation . .4 1.2.1 Privacy . .4 1.2.2 Unavailable Server . .4 1.2.3 Simple, Self-Contained Demos . .5 1.3 Challenges . .5 1.3.1 Performance . .5 1.3.2 Poor Generality . .7 1.3.3 Manual Implementation in JavaScript . .7 2 The TensorFlow Architecture 7 2.1 TensorFlow's API . .7 2.2 TensorFlow's Implementation . .9 2.3 Portability . .9 3 Compiling TensorFlow into JavaScript 10 3.1 Motivation to Compile . 10 3.2 Background on Emscripten . 10 3.2.1 Build Process . 12 3.2.2 Dependencies . 12 3.2.3 Bitness Assumptions . 13 3.2.4 Concurrency Model . 13 3.3 Experiences . 14 4 Results 15 4.1 Benchmarks . 15 4.2 Library Size . 16 4.3 WebAssembly . 17 5 Developer Experience 17 5.1 Universal Graph Runner . -
GOOGLE LLC V. ORACLE AMERICA, INC
(Slip Opinion) OCTOBER TERM, 2020 1 Syllabus NOTE: Where it is feasible, a syllabus (headnote) will be released, as is being done in connection with this case, at the time the opinion is issued. The syllabus constitutes no part of the opinion of the Court but has been prepared by the Reporter of Decisions for the convenience of the reader. See United States v. Detroit Timber & Lumber Co., 200 U. S. 321, 337. SUPREME COURT OF THE UNITED STATES Syllabus GOOGLE LLC v. ORACLE AMERICA, INC. CERTIORARI TO THE UNITED STATES COURT OF APPEALS FOR THE FEDERAL CIRCUIT No. 18–956. Argued October 7, 2020—Decided April 5, 2021 Oracle America, Inc., owns a copyright in Java SE, a computer platform that uses the popular Java computer programming language. In 2005, Google acquired Android and sought to build a new software platform for mobile devices. To allow the millions of programmers familiar with the Java programming language to work with its new Android plat- form, Google copied roughly 11,500 lines of code from the Java SE pro- gram. The copied lines are part of a tool called an Application Pro- gramming Interface (API). An API allows programmers to call upon prewritten computing tasks for use in their own programs. Over the course of protracted litigation, the lower courts have considered (1) whether Java SE’s owner could copyright the copied lines from the API, and (2) if so, whether Google’s copying constituted a permissible “fair use” of that material freeing Google from copyright liability. In the proceedings below, the Federal Circuit held that the copied lines are copyrightable. -
Create Mobile Apps with HTML5, Javascript and Visual Studio
Create mobile apps with HTML5, JavaScript and Visual Studio DevExtreme Mobile is a single page application (SPA) framework for your next Windows Phone, iOS and Android application, ready for online publication or packaged as a store-ready native app using Apache Cordova (PhoneGap). With DevExtreme, you can target today’s most popular mobile devices with a single codebase and create interactive solutions that will amaze. Get started today… ・ Leverage your existing Visual Studio expertise. ・ Build a real app, not just a web page. ・ Deliver a native UI and experience on all supported devices. ・ Use over 30 built-in touch optimized widgets. Learn more and download your free trial devexpress.com/mobile All trademarks or registered trademarks are property of their respective owners. Untitled-4 1 10/2/13 11:58 AM APPLICATIONS & DEVELOPMENT SPECIAL GOVERNMENT ISSUE INSIDE Choose a Cloud Network for Government-Compliant magazine Applications Geo-Visualization of SPECIAL GOVERNMENT ISSUE & DEVELOPMENT SPECIAL GOVERNMENT ISSUE APPLICATIONS Government Data Sources Harness Open Data with CKAN, OData and Windows Azure Engage Communities with Open311 THE DIGITAL GOVERNMENT ISSUE Inside the tools, technologies and APIs that are changing the way government interacts with citizens. PLUS SPECIAL GOVERNMENT ISSUE APPLICATIONS & DEVELOPMENT SPECIAL GOVERNMENT ISSUE & DEVELOPMENT SPECIAL GOVERNMENT ISSUE APPLICATIONS Enhance Services with Windows Phone 8 Wallet and NFC Leverage Web Assets as Data Sources for Apps APPLICATIONS & DEVELOPMENT SPECIAL GOVERNMENT ISSUE ISSUE GOVERNMENT SPECIAL DEVELOPMENT & APPLICATIONS Untitled-1 1 10/4/13 11:40 AM CONTENTS OCTOBER 2013/SPECIAL GOVERNMENT ISSUE OCTOBER 2013/SPECIAL GOVERNMENT ISSUE magazine FEATURES MOHAMMAD AL-SABT Editorial Director/[email protected] Geo-Visualization of Government KENT SHARKEY Site Manager Data Sources MICHAEL DESMOND Editor in Chief/[email protected] Malcolm Hyson .......................................... -
Extracting Taint Specifications for Javascript Libraries
Extracting Taint Specifications for JavaScript Libraries Cristian-Alexandru Staicu Martin Toldam Torp Max Schäfer TU Darmstadt Aarhus University GitHub [email protected] [email protected] [email protected] Anders Møller Michael Pradel Aarhus University University of Stuttgart [email protected] [email protected] ABSTRACT ACM Reference Format: Modern JavaScript applications extensively depend on third-party Cristian-Alexandru Staicu, Martin Toldam Torp, Max Schäfer, Anders Møller, and Michael Pradel. 2020. Extracting Taint Specifications for JavaScript libraries. Especially for the Node.js platform, vulnerabilities can Libraries. In 42nd International Conference on Software Engineering (ICSE have severe consequences to the security of applications, resulting ’20), May 23–29, 2020, Seoul, Republic of Korea. ACM, New York, NY, USA, in, e.g., cross-site scripting and command injection attacks. Existing 12 pages. https://doi.org/10.1145/3377811.3380390 static analysis tools that have been developed to automatically detect such issues are either too coarse-grained, looking only at 1 INTRODUCTION package dependency structure while ignoring dataflow, or rely on JavaScript is powering a wide variety of web applications, both manually written taint specifications for the most popular libraries client-side and server-side. Many of these applications are security- to ensure analysis scalability. critical, such as PayPal, Netflix, or Uber, which handle massive In this work, we propose a technique for automatically extract- amounts of privacy-sensitive user data and other assets. An impor- ing taint specifications for JavaScript libraries, based on a dynamic tant characteristic of modern JavaScript-based applications is the analysis that leverages the existing test suites of the libraries and extensive use of third-party libraries. -
Microsoft AJAX Library Essentials Client-Side ASP.NET AJAX 1.0 Explained
Microsoft AJAX Library Essentials Client-side ASP.NET AJAX 1.0 Explained A practical tutorial to using Microsoft AJAX Library to enhance the user experience of your ASP.NET Web Applications Bogdan Brinzarea Cristian Darie BIRMINGHAM - MUMBAI Microsoft AJAX Library Essentials Client-side ASP.NET AJAX 1.0 Explained Copyright © 2007 Packt Publishing All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, Packt Publishing, nor its dealers or distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book. Packt Publishing has endeavored to provide trademark information about all the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information. First published: July 2007 Production Reference: 1230707 Published by Packt Publishing Ltd. 32 Lincoln Road Olton Birmingham, B27 6PA, UK. ISBN 978-1-847190-98-7 www.packtpub.com Cover Image by www.visionwt.com Table of Contents Preface 1 Chapter 1: AJAX and ASP.NET 7 The Big Picture 8 AJAX and Web 2.0 10 Building -
Learning Javascript Design Patterns
Learning JavaScript Design Patterns Addy Osmani Beijing • Cambridge • Farnham • Köln • Sebastopol • Tokyo Learning JavaScript Design Patterns by Addy Osmani Copyright © 2012 Addy Osmani. All rights reserved. Revision History for the : 2012-05-01 Early release revision 1 See http://oreilly.com/catalog/errata.csp?isbn=9781449331818 for release details. ISBN: 978-1-449-33181-8 1335906805 Table of Contents Preface ..................................................................... ix 1. Introduction ........................................................... 1 2. What is a Pattern? ...................................................... 3 We already use patterns everyday 4 3. 'Pattern'-ity Testing, Proto-Patterns & The Rule Of Three ...................... 7 4. The Structure Of A Design Pattern ......................................... 9 5. Writing Design Patterns ................................................. 11 6. Anti-Patterns ......................................................... 13 7. Categories Of Design Pattern ............................................ 15 Creational Design Patterns 15 Structural Design Patterns 16 Behavioral Design Patterns 16 8. Design Pattern Categorization ........................................... 17 A brief note on classes 17 9. JavaScript Design Patterns .............................................. 21 The Creational Pattern 22 The Constructor Pattern 23 Basic Constructors 23 Constructors With Prototypes 24 The Singleton Pattern 24 The Module Pattern 27 iii Modules 27 Object Literals 27 The Module Pattern -
Analysing the Use of Outdated Javascript Libraries on the Web
Updated in September 2017: Require valid versions for library detection throughout the paper. The vulnerability analysis already did so and remains identical. Modifications in Tables I, III and IV; Figures 4 and 7; Sections III-B, IV-B, IV-C, IV-F and IV-H. Additionally, highlight Ember’s security practices in Section V. Thou Shalt Not Depend on Me: Analysing the Use of Outdated JavaScript Libraries on the Web Tobias Lauinger, Abdelberi Chaabane, Sajjad Arshad, William Robertson, Christo Wilson and Engin Kirda Northeastern University {toby, 3abdou, arshad, wkr, cbw, ek}@ccs.neu.edu Abstract—Web developers routinely rely on third-party Java- scripts or HTML into vulnerable websites via a crafted tag. As Script libraries such as jQuery to enhance the functionality of a result, it is of the utmost importance for websites to manage their sites. However, if not properly maintained, such dependen- library dependencies and, in particular, to update vulnerable cies can create attack vectors allowing a site to be compromised. libraries in a timely fashion. In this paper, we conduct the first comprehensive study of To date, security research has addressed a wide range of client-side JavaScript library usage and the resulting security client-side security issues in websites, including validation [30] implications across the Web. Using data from over 133 k websites, we show that 37 % of them include at least one library with a and XSS ([17], [36]), cross-site request forgery [4], and session known vulnerability; the time lag behind the newest release of fixation [34]. However, the use of vulnerable JavaScript libraries a library is measured in the order of years. -
6. Client-Side Processing
6. Client-Side Processing 1. Client-side processing 2. JavaScript 3. Client-side scripting 4. Document Object Model (DOM) 5. Document methods and properties 6. Events 7. Calling a function 8. Table of squares function 9. Comments on previous script 10. Defining a function 11. Event handlers 12. Event handlers example 13. Event listeners 14. Functions and form fields 15. Defining the function myTranslate 16. Navigating the DOM tree 17. Finding elements by name 18. Finding elements by name (function body) 19. Using CSS selectors 20. Adding elements 21. Deleting elements 22. Using jQuery 23. Using jQuery to add elements 24. Finding elements by name (jQuery) 25. DOM and XML 26. jQuery method to load an XML file 27. Retrieving RSS item titles 28. Retrieving JSON data 29. JSON country data 30. Code for JSON retrieval (1) 31. Code for JSON retrieval (2) 32. Exercises 33. Links to more information 6.1. Client-side processing client program (e.g. web browser) can be used to customise interaction with the user validate user input (although HTML5 now provides this) generate (part of) document dynamically send requests to a server in the background make interaction with a web page similar to that of a desktop application this is typically done using JavaScript, since a Javascript interpreter is built into browsers 6.2. JavaScript interpreted, scripting language for the web loosely typed variables do not have to be declared the same variable can store values of different types at different times HTML <script> element specifies script to be executed type attribute has value text/javascript src attribute specifies URI of external script usually <script> appears in the <head> and just declares functions to be called later ECMAScript, 10th edition (June 2019) is the latest standard 6.3. -
The Aesthetic Mind This Page Intentionally Left Blank the Aesthetic Mind Philosophy and Psychology
The Aesthetic Mind This page intentionally left blank The Aesthetic Mind Philosophy and Psychology EDITED BY Elisabeth Schellekens and Peter Goldie 1 3 Great Clarendon Street, Oxford OX26DP Oxford University Press is a department of the University of Oxford. It furthers the University’s objective of excellence in research, scholarship, and education by publishing worldwide in Oxford New York Auckland Cape Town Dar es Salaam Hong Kong Karachi Kuala Lumpur Madrid Melbourne Mexico City Nairobi New Delhi Shanghai Taipei Toronto With offices in Argentina Austria Brazil Chile Czech Republic France Greece Guatemala Hungary Italy Japan Poland Portugal Singapore South Korea Switzerland Thailand Turkey Ukraine Vietnam Oxford is a registered trade mark of Oxford University Press in the UK and in certain other countries Published in the United States by Oxford University Press Inc., New York # the several contributors 2011 The moral rights of the authors have been asserted Database right Oxford University Press (maker) First published 2011 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, without the prior permission in writing of Oxford University Press, or as expressly permitted by law, or under terms agreed with the appropriate reprographics rights organization. Enquiries concerning reproduction outside the scope of the above should be sent to the Rights Department, Oxford University Press, at the address above You must not circulate this book in any other binding or cover and you must impose the same condition on any acquirer British Library Cataloguing in Publication Data Data available Library of Congress Cataloging in Publication Data Data available Typeset by SPI Publisher Services, Pondicherry, India Printed in Great Britain on acid-free paper by MPG Books Group, Bodmin and King’s Lynn ISBN 978–0–19–969151–7 13579108642 Contents List of Figures viii Notes on Contributors ix Introduction 1 Elisabeth Schellekens and Peter Goldie Part I. -
A Toolkit to Develop a Virtual Dementia Friendly Community
An Australian Government Initiative Government An Australian Friendly Community Friendly a Virtual Dementia A Toolkit to develop develop to A Toolkit Verily Connect | An Australian Government Initiative A Toolkit to develop a Virtual Dementia Friendly Community Authors Blackberry, I., Wilding, C., Morgan, D., Winbolt, M., Greenhill, J., Perkins, D., O’Connell, M., Bauer, M., Morley, C., Farmer, J., Royals, K., Rasekaba, T., Hamiduzzaman, M., Gottschall, K., Robinson, A., Zaplin, E., & Davis, H. Year February 2020 Recommended citation Blackberry, I., Wilding, C., Morgan, D., Winbolt, M., Greenhill, J., Perkins, D., O’Connell, M., Bauer, M., Morley, C., Farmer, J., Royals, K., Rasekaba, T., Hamiduzzaman, M., Gottschall, K., Robinson, A., Zaplin, E., & Davis, H. 2020. Verily Connect Toolkit: how to develop a Virtual Dementia-Friendly Community. John Richards Centre for Rural Ageing Research, La Trobe University, Wodonga. Disclaimer The information set out in this toolkit is current at the date of this publication and is intended for use as a guide of a general nature only and may or may not be relevant to people living with dementia or their carers. Nor is this toolkit exhaustive of the subject matter. Persons implementing any advice contained in this toolkit must exercise their own skill, judgement and seek appropriate professional advice relevant to the matter. Accordingly, The John Richards Centre for Rural Ageing Research, La Trobe University and its employees and agents shall accept no liability (including without limitation liability by reason of negligence) to any users of the information contained in this toolkit for any loss or damage (consequential or otherwise), cost or expense incurred or arising by reason of any person using or relying on the information contained in this toolkit and whether caused by reason of any error, negligent act, omission or misrepresentation in the information. -
Jigsaw Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles Mehdi Noroozi and Paolo Favaro Institute for Informatiks University of Bern fnoroozi,[email protected] Abstract. In this paper we study the problem of image representation learning without human annotation. By following the principles of self- supervision, we build a convolutional neural network (CNN) that can be trained to solve Jigsaw puzzles as a pretext task, which requires no manual labeling, and then later repurposed to solve object classification and detection. To maintain the compatibility across tasks we introduce the context-free network (CFN), a siamese-ennead CNN. The CFN takes image tiles as input and explicitly limits the receptive field (or context) of its early processing units to one tile at a time. We show that the CFN includes fewer parameters than AlexNet while preserving the same se- mantic learning capabilities. By training the CFN to solve Jigsaw puzzles, we learn both a feature mapping of object parts as well as their correct spatial arrangement. Our experimental evaluations show that the learned features capture semantically relevant content. Our proposed method for learning visual representations outperforms state of the art methods in several transfer learning benchmarks. 1 Introduction arXiv:1603.09246v3 [cs.CV] 22 Aug 2017 Visual tasks, such as object classification and detection, have been successfully approached through the supervised learning paradigm [1,11,25,36], where one uses labeled data to train a parametric model. However, as manually labeled data can be costly, unsupervised learning methods are gaining momentum. Recently, Doersch et al. [10], Wang and Gupta [39] and Agrawal et al. -
Javascript DOM Manipulation Performance Comparing Vanilla Javascript and Leading Javascript Front-End Frameworks
JavaScript DOM Manipulation Performance Comparing Vanilla JavaScript and Leading JavaScript Front-end Frameworks Morgan Persson 28/05/2020 Faculty of Computing, Blekinge Institute of Technology, 371 79 Karlskrona, Sweden This thesis is submitted to the Faculty of Computing at Blekinge Institute of Technology in partial fulfillment of the requirements for the bachelor’s degree in software engineering. The thesis is equivalent to 10 weeks of full-time studies. Contact Information: Author(s): Morgan Persson E-mail: [email protected] University advisor: Emil Folino Department of Computer Science Faculty of Computing Internet : www.bth.se Blekinge Institute of Technology Phone : +46 455 38 50 00 SE–371 79 Karlskrona, Sweden Fax : +46 455 38 50 57 Abstract Background. Websites of 2020 are often feature rich and highly interactive ap- plications. JavaScript is a popular programming language for the web, with many frameworks available. A common denominator for highly interactive web applica- tions is the need for efficient methods of manipulating the Document Object Model to enable a solid user experience. Objectives. This study compares Vanilla JavaScript and the JavaScript frameworks Angular, React and Vue.js in regards to DOM performance, DOM manipulation methodology and application size. Methods. A literature study was conducted to compare the DOM manipulation methodologies of Vanilla JavaScript and the selected frameworks. An experiment was conducted where test applications was created using Vanilla JavaScript and the selected frameworks. These applications were used as base for comparing applica- tion size and for comparison tests of DOM performance related metrics using Google Chrome and Firefox. Results. In regards to DOM manipulation methodology, there is a distinct difference between Vanilla JavaScript and the selected frameworks.