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Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks.

, , , , , , , , , , , and . SEC, page 378-380. IEEE, (2018)

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Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks., , , , , , , , , and 2 other author(s). SEC, page 378-380. IEEE, (2018)QRishing: The Susceptibility of Smartphone Users to QR Code Phishing Attacks., , , , , and . Financial Cryptography Workshops, volume 7862 of Lecture Notes in Computer Science, page 52-69. Springer, (2013)OASIS: on achieving a sanctuary for integrity and secrecy on untrusted platforms., , , , , and . ACM Conference on Computer and Communications Security, page 13-24. ACM, (2013)ACComplice: Location inference using accelerometers on smartphones., , , , and . COMSNETS, page 1-9. IEEE, (2012)Trustworthy Execution on Mobile Devices: What Security Properties Can My Mobile Platform Give Me?, , , , and . TRUST, volume 7344 of Lecture Notes in Computer Science, page 159-178. Springer, (2012)Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase., , , , , , and . CoRR, (2018)OTO: online trust oracle for user-centric trust establishment., , , , , , and . ACM Conference on Computer and Communications Security, page 391-403. ACM, (2012)ACCessory: password inference using accelerometers on smartphones., , , , and . HotMobile, page 9. ACM, (2012)A systematic framework for dynamic nodal vulnerability assessment of water distribution networks based on multilayer networks., , , and . Reliab. Eng. Syst. Saf., (2022)Claim Mobile: Engaging conflicting stakeholder requirements in healthcare in Uganda., , and . ICTD, page 35-45. IEEE, (2009)