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Application of Secure Two-Party Computation in a Privacy-Preserving Android App.

, , , and . ARES, page 144:1-144:7. ACM, (2023)

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Machine Learning Meets iOS Malware: Identifying Malicious Applications on Apple Environment., , and . ICISSP, page 487-492. SciTePress, (2017)Mobile Silent and Continuous Authentication using Apps Sequence., , , , , , and . SECRYPT, page 79-91. SciTePress, (2017)I find your behavior disturbing: Static and dynamic app behavioral analysis for detection of Android malware., , , and . PST, page 129-136. IEEE, (2016)Quantitative access control with partially-observable Markov decision processes., and . CODASPY, page 169-180. ACM, (2012)Detection of Obfuscation Techniques in Android Applications., , , , and . ARES, page 57:1-57:9. ACM, (2018)Modeling Privacy Aware Information Sharing Systems: A Formal and General Approach., , and . Trustcom/BigDataSE/ISPA, page 767-774. IEEE, (2016)On Probabilistic Application Compliance., , , and . Trustcom/BigDataSE/ISPA, page 1848-1855. IEEE, (2016)On absence of diffusion for low energy for a random Schrödinger operator on L2(R), and . Physica A: Statistical and Theoretical Physics, 124 (1-3): 413--417 (March 1984)Automatic Verification of Cryptographic Protocols through Compositional Analysis Techniques., and . TACAS, volume 1579 of Lecture Notes in Computer Science, page 148-162. Springer, (1999)Keystroke Analysis for User Identification using Deep Neural Networks., , , and . IJCNN, page 1-8. IEEE, (2019)