Search results

  1. Fast and Vulnerable: A Story of Telematic Failures

    risks that must be carefully considered. In this paper we examine a popular aftermarket telematics ...

    arnold - December 12, 2021 - 12:10 am

  2. Cocaine Noodles: Exploiting the Gap between Human and Machine Speech Recognition

    small devices that do not support more traditional, keyboard-based input. In this paper, we examine the ...

    arnold - December 12, 2021 - 12:10 am

  3. Fuzzing E-mail Filters with Generative Grammars and N-Gram Analysis

    slight variations in the e-mail contents. In this paper, we demonstrate an approach to evaluating the ...

    arnold - December 12, 2021 - 12:10 am

  4. Replication Prohibited: Attacking Restricted Keyways with 3D-Printing

    discouraging distribution or manufacture by even skilled machinists. In this paper we investigate the impact ...

    arnold - December 12, 2021 - 12:10 am

  5. An Analysis of China’s “Great Cannon”

    Bill Marczak, University of California, Berkeley, and Citizen Lab, University of Toronto; Nicholas Weaver, International Computer Science Institute (ICSI) and University of California, Berkeley; Jakub Dalek, Citizen Lab,  University of Toronto; Roya Ensaf ...

    arnold - December 12, 2021 - 12:41 am

  6. Every Rose Has Its Thorn: Censorship and Surveillance on Social Video Platforms in China

    Jeffrey Knockel, University of New Mexico and Citizen Lab, University of Toronto; Masashi Crete-Nishihata, Jason Q. Ng, and Adam Senft, Citizen Lab, University of Toronto; Jedidiah R. Crandall, University of New Mexico Social media companies operating in ...

    arnold - December 12, 2021 - 12:41 am

  7. Understanding Internet Censorship Policy: The Case of Greece

    Vasilis Ververis, Humboldt University Berlin; George Kargiotakis; Arturo Filastò, The Tor Project; Benjamin Fabian, Humboldt University Berlin; Afentoulis Alexandros The Greek government has recently initiated large scale content blocking that leads to In ...

    arnold - December 12, 2021 - 12:41 am

  8. Half Baked: The Opportunity to Secure Cookie-based Identifiers from Passive Surveillance

    activities that individuals engage in when they use Internet-capable devices. This paper investigates the ...

    arnold - December 12, 2021 - 12:41 am

  9. Retrospective Provenance Without a Runtime Provenance Recorder

    views (i.e., prospective provenance) of scripts. In this paper, we present a new extension of YW for ...

    michele - December 12, 2021 - 5:55 am

  10. Provenance of Publications: A PROV Style for LaTeX

    particular, when writing papers, researchers should be able to produce the provenance of their papers, make it ...

    michele - December 12, 2021 - 5:55 am

  11. Decoupling Provenance Capture and Analysis from Execution

    computing. In this paper, we present a new approach to capturing provenance based on full execution record ...

    michele - December 12, 2021 - 5:55 am

  12. Provenance Tipping Point

    David Gammack, Marymount University; Adriane Chapman, The MITRE Corporation Capture is a known, difficult problem for provenance. Obtaining from the systems and programs exactly what happened has been a continuing struggle outside of database and workflow ...

    michele - December 12, 2021 - 5:55 am

  13. Towards a Unified Query Language for Provenance and Versioning

    paper, we present an initial design of our query language, called VQuel, that aims to support such ...

    michele - December 12, 2021 - 5:55 am

  14. Interoperability for Provenance-aware Databases using PROV and JSON

    Xing Niu, Raghav Kapoor, and Boris Glavic, Illinois Institute of Technology; Dieter Gawlick, Zhen Hua Liu, and Vasudha Krishnaswamy, Oracle Corporation; Venkatesh Radhakrishnan, Facebook Since its inception, the PROV standard has been widely adopted as a ...

    michele - December 12, 2021 - 5:55 am

  15. Take Only What You Need: Leveraging Mandatory Access Control Policy to Reduce Provenance Storage Costs

    Adam Bates and Kevin R.B. Butler, University of Florida; Thomas Moyer, MIT Lincoln Laboratory When performing automatic provenance collection within the operating system, inevitable storage overheads are made worse by the fact that much of the generated l ...

    michele - December 12, 2021 - 6:26 am

  16. Recent Advances in Computer Architecture: The Opportunities and Challenges for Provenance

    that open new opportunities and challenges for provenance systems. In this paper we look at such ...

    michele - December 12, 2021 - 6:26 am

  17. How Much Domain Data Should Be in Provenance Databases?

    Daniel de Oliveira, Universidade Federal Fluminense; Vítor Silva and Marta Mattoso, Federal University of Rio de Janeiro Provenance databases are an important asset in data analytics of large-scale scientific data. The data derivation path allows for iden ...

    michele - December 12, 2021 - 6:26 am

  18. Collecting and Analyzing Provenance on Interactive Notebooks: When IPython Meets noWorkflow

    João Felipe Nicolaci Pimentel, Vanessa Braganholo, and Leonardo Murta, Universidade Federal Fluminense; Juliana Freire, New York University Interactive notebooks help users explore code, run simulations, visualize results, and share them with other people ...

    michele - December 12, 2021 - 6:26 am

  19. Linking Prospective and Retrospective Provenance in Scripts

    Saumen Dey, University of California, Davis; Khalid Belhajjame, Université Paris-Dauphine; David Koop, University of Massachusetts Dartmouth; Meghan Raul, University of California, Davis; Bertram Ludäscher, University of Illinois at Urbana-Champaign Scrip ...

    michele - December 12, 2021 - 6:26 am

  20. Language-integrated Provenance in Links

    Stefan Fehrenbach and James Cheney, University of Edinburgh Today’s programming languages provide no support for data provenance. In a world that increasingly relies on data, we need provenance to judge the reliability of data and therefore should aim for ...

    michele - December 12, 2021 - 6:26 am

  21. Towards Constraint-based Explanations for Answers and Non-Answers

    can be very large and, thus, may not be very helpful to a user. In this paper, we argue that ...

    michele - December 12, 2021 - 6:26 am

  22. Cell-based Causality for Data Repairs

    Maxime Debosschere and Floris Geerts,  Universiteit Antwerpen In recent work, Salimi and Bertossi provide a tight connection between causality and tuple-based data repairs. We investigate this connection between causality and two other kinds of repair mod ...

    michele - December 12, 2021 - 6:26 am

  23. A Design Space for Effective Privacy Notices

    privacy notices. In this paper, we make multiple contributions to remedy this issue. We survey the ...

    arnold - December 12, 2021 - 12:41 am

  24. “WTH..!?!” Experiences, Reactions, and Expectations Related to Online Privacy Panic Situations

    Julio Angulo,  Karlstad University;  Martin Ortlieb,  Google There are moments in which users might find themselves experiencing feelings of panic with the realization that their privacy or personal information on the Internet might be at risk. We present ...

    arnold - December 12, 2021 - 12:41 am

  25. “My Data Just Goes Everywhere:” User Mental Models of the Internet and Implications for Privacy and Security

    Ruogu Kang, Laura Dabbish, Nathaniel Fruchter, and Sara Kiesler, Carnegie Mellon University Many people use the Internet every day yet know little about how it really works. Prior literature diverges on how people’s Internet knowledge affects their privac ...

    arnold - December 12, 2021 - 12:41 am

Pages