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Moving Deep Learning into Web Browser: How Far Can We Go? [article]

Yun Ma, Dongwei Xiang, Shuyu Zheng, Deyu Tian, Xuanzhe Liu
2019 arXiv   pre-print
However, little is known on what and how well we can do with these frameworks for deep learning in browsers.  ...  We survey 7 most popular JavaScript-based deep learning frameworks, investigating to what extent deep learning tasks have been supported in browsers so far.  ...  BACKGROUND In this section, we give some background of deep learning and then discuss how browsers support deep learning tasks.  ... 
arXiv:1901.09388v2 fatcat:zfhfiikfovhrbi22tunidpjvja

Evaluation of ML methods for online use in the browser

2021 Zenodo  
By trying, comparing, and comprehensively evaluating regression and classification tasks, we can summarize some excellent methods/models and experiences suitable for machine learning in the browser.  ...  As the closest link to users in the Internet, the web front-end can also create a better experience for our users through AI capabilities.  ...  This article will focus on how to evaluate machine learning algorithms and deploy machine learning models in the browser.  ... 
doi:10.5281/zenodo.4431444 fatcat:y7scdjgaarcndeg77eawzhhf24

Browser Fingerprinting: A survey [article]

Pierre Laperdrix and Nataliia Bielova and Benoit Baudry and Gildas Avoine
2019 arXiv   pre-print
We explain how this technique works and where it stems from.  ...  We systematize existing defense solutions into different categories and detail the current challenges yet to overcome.  ...  One can go into the browser preferences and disable the execution of JavaScript code for all web pages.  ... 
arXiv:1905.01051v2 fatcat:garoieeijnc7hjd46sp3wgwrgu

Evaluation of ML methods for online use in the browser

Hao Liu
By trying, comparing, and comprehensivelyevaluating regression and classification tasks, we can summarize some excellent methods/models and experiences suitable for machine learning in the browser.  ...  As the closest link to users in the Internet, the web front-end can also create a better experience for our users through AI capabilities.  ...  But how effective is the lightweight model on mobile and web side?  ... 
doi:10.6084/m9.figshare.13553642.v3 fatcat:pp6zyvhjsrd2fdxmljtk5vbk6e

JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training [article]

JoséÁ. Morell, Andrés Camero, Enrique Alba
2019 arXiv   pre-print
JSdoop divides a problem into tasks and uses different queues to distribute the computation. Then, volunteers access the web page of the problem and start processing the tasks in their web browsers.  ...  In this study, we introduce JSDoop, a prototype implementation to profit from this opportunity. In particular, we propose a volunteer web browser-based high-performance computing library.  ...  A volunteer joins collaboration just opening a URL in the web browser. III. DISTRIBUTED DEEP LEARNING In this section, we discuss distributed client-side deep learning.  ... 
arXiv:1910.07402v1 fatcat:jl746wxf5jce3m6p5y73lculqm

A browser-based operating systems project

Alan G. Labouseur
2010 ACM SIGCSE Bulletin  
result in a fairly complex OS simulation by the end of the semester, the response to the project, and some ideas about where to go next.  ...  This paper presents one educator's experience with a browser-based project for an upper-level/graduate Operating Systems course.  ...  We were now fairly deep into the OS, and the class average of 87% reflected this.  ... 
doi:10.1145/1709424.1709449 fatcat:wymp232hw5bwhp75brpjfai5ly

Integrating back, history and bookmarks in web browsers

Shaun Kaasten, Saul Greenberg
2001 CHI '01 extended abstracts on Human factors in computer systems - CHI '01  
., far down the list, or embedded deep within a hierarchy. 5. Bookmarks have several recognized problems.  ...  Given this revisitation statistic, we believe that Web browsers should go to great lengths to support effective page revisitation.  ...  If they are long, we can expect much truncation. Either way, we need to investigate the distribution of titles and URLs to place answers from research questions 2 and 3 in context. Centre  ... 
doi:10.1145/634288.634291 fatcat:fqvk5uiji5h47lohxdh6ntzsyi

FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting [article]

Pouneh Nikkhah Bahrami, Umar Iqbal, Zubair Shafiq
2021 arXiv   pre-print
In this paper, we propose FP-Radar, a machine learning approach that leverages longitudinal measurements of web API usage on top-100K websites over the last decade, for early detection of new and evolving  ...  Browser fingerprinting is a stateless tracking technique that attempts to combine information exposed by multiple different web APIs to create a unique identifier for tracking users across the web.  ...  We capture all the snapshots thus far.  ... 
arXiv:2112.01662v2 fatcat:gaaium5lpzboblh3eh2smnlxqq

The NIH Visual Browser: An Interactive Visualization of Biomedical Research

Bruce William Herr II, Edmund M. Talley, Gully A.P.C. Burns, David Newman, Gavin LaRowe
2009 2009 13th International Conference Information Visualisation  
The visualization is made intelligible by providing interactive features for assessing the data in a web-based visual browser, see  ...  The key features include deep zooming, selection, full-text querying, overlays, colorcoding schemes, and multi-level labeling.  ...  We are also deeply indebted to the contributions of Kevin Boyack, a leader in this field.  ... 
doi:10.1109/iv.2009.105 dblp:conf/iv/HerrTBNL09 fatcat:rquxxtkp3zb2llkd2di7poeatm

CookiExt: Patching the browser against session hijacking attacks

Michele Bugliesi, Stefano Calzavara, Riccardo Focardi, Wilayat Khan
2015 Journal of Computer Security  
To counter these attacks, modern web browsers implement native cookie protection mechanisms based on the HttpOnly and Secure flags.  ...  We then develop CookiExt, a browser extension that provides client-side protection against session hijacking, based on appropriate flagging of session cookies and automatic redirection over HTTPS for HTTP  ...  Acknowledgements We would like to thank the anonymous referees for their valuable feedback, which helped us to significantly improve the original submission.  ... 
doi:10.3233/jcs-150529 fatcat:oh3myqbcnrfhdhz2k4tevmlwg4

The Need for Speed of AI Applications: Performance Comparison of Native vs. Browser-based Algorithm Implementations [article]

Bernd Malle, Nicola Giuliani, Peter Kieseberg, Andreas Holzinger
2018 arXiv   pre-print
On top of many AI applications already using mobile hardware, and even browsers for computationally demanding AI applications, we are already witnessing the emergence of client-side (federated) machine  ...  learning algorithms, driven by the interests of large corporations and startups alike.  ...  The max-flow problem asks how much flow can be transferred from the source to the sink.  ... 
arXiv:1802.03707v1 fatcat:knmb6ybwunar5dwul2uqerowwi

The GPlates Portal: Cloud-Based Interactive 3D Visualization of Global Geophysical and Geological Data in a Web Browser

R. Dietmar Müller, Xiaodong Qin, David T. Sandwell, Adriana Dutkiewicz, Simon E. Williams, Nicolas Flament, Stefan Maus, Maria Seton, Juan A. Añel
2016 PLoS ONE  
Here, we describe our efforts to bring to life our studies of the Earth system, both at present day and through deep geological time.  ...  These innovations open up new avenues for how scientists communicate and share data and ideas with each other and with the general public.  ...  ., for detailed 3D textured city models [4] ), work well on hand-held devices, and can function entirely within a web-browser.  ... 
doi:10.1371/journal.pone.0150883 pmid:26960151 pmcid:PMC4784813 fatcat:fawmdefl55cdjoibfqgvlj2mva

Survey on JavaScript security policies and their enforcement mechanisms in a web browser

Nataliia Bielova
2013 The Journal of Logic and Algebraic Programming  
show how well-known enforcement techniques are applied in a web browser setting; 2) for web developers we propose a classification of security policies, comparison of existing enforcement mechanisms proposed  ...  We target two groups of readers: 1) for computer security researchers we propose an overview of security-relevant components of the web browser and the security policies based on these components, we also  ...  We would also like to thank the anonymous referees for comments that have helped improve the paper.  ... 
doi:10.1016/j.jlap.2013.05.001 fatcat:5pntdqk5fnasnpmjvfgsgkk5za

Revisiting Web Data Extraction Using In-Browser Structural Analysis and Visual Cues in Modern Web Designs [chapter]

Alfonso Murolo, Moira C. Norrie
2016 Lecture Notes in Computer Science  
We present DeepDesign, a system that semi-automatically extracts data records from web pages based on a combination of structural and visual features.  ...  It runs in a generalpurpose browser, taking advantage of direct access to the complete CSS3 spectrum and the capability to trigger and execute JavaScript in the page.  ...  We first provide a review of related work on web data extraction in Sect. 2 before going on to present an overview of our approach in Sect. 3.  ... 
doi:10.1007/978-3-319-38791-8_7 fatcat:ckcmmzkf2fffzo6io73kk3ghma

Actions speak louder than words: Semi-supervised learning for browser fingerprinting detection [article]

Sarah Bird, Vikas Mishra, Steven Englehardt, Rob Willoughby, David Zeber, Walter Rudametkin, Martin Lopatka
2020 arXiv   pre-print
Seeking to overcome these challenges, we present a semi-supervised machine learning approach for detecting fingerprinting scripts.  ...  Supervised machine learning techniques proposed for detecting tracking require manually generated label-sets.  ...  Web browsers have recently started to take an active stance in preventing web tracking through stateful (i.e., cookiebased) approaches [10, 11] .  ... 
arXiv:2003.04463v1 fatcat:qcwxcfsqlbbdrkbtr23bdpcqfy
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