Title: | Access Control and Machine Learning: Evasion and Defenses |
Author(s): | Juuti, Mika |
Date: | 2019 |
Language: | en |
Pages: | 111 + app. 115 |
Department: | Tietotekniikan laitos Department of Computer Science |
ISBN: | 978-952-60-8651-4 (electronic) 978-952-60-8650-7 (printed) |
Series: | Aalto University publication series DOCTORAL DISSERTATIONS, 134/2019 |
ISSN: | 1799-4942 (electronic) 1799-4934 (printed) 1799-4934 (ISSN-L) |
Supervising professor(s): | Asokan, N., Prof., Aalto University, Department of Computer Science, Finland |
Subject: | Computer science |
Keywords: | access control, machine learning, evasion, defense, adversarial machine learning, käyttöoikeuksien valtuutus, koneoppiminen |
Archive | yes |
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Abstract:Koneoppimis- ja tekoälyjärjestelmät ovat kokeneet suunnatonta suosiota viime vuosina. Koneoppimispalvelujen ulkoistamisesta on tullut Googlen kaltaisten suurten teknologiajättien liiketoimintaetu. Koneoppimista on myös yhä enemmän sovellettu tietoturvallisuuskriittisiin sovelluksiin, kuten käyttöoikeuksien valtuuttamiseen. |
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Parts:[Publication 1]: Mika Juuti, Christian Vaas , Ivo Sluganovic, Hans Liljestrand, N. Asokan and Ivan Martinovic. STASH: Securing transparent authentication schemes using prover-side proximity verification. In IEEE International Conference on Sensing, Communication and Networking, SECON 2017, San Diego, USA, June 2017. DOI: 10.1109/SAHCN.2017.7964922 View at Publisher [Publication 2]: Otto Huhta, Prakash Shrestha, Swapnil Udar, Mika Juuti, Nitesh Saxena and N. Asokan. Pitfalls in Designing Zero-Effort Deauthentication: Opportunistic Human Observation Attacks. In The Network and Distributed System Security Symposium, NDSS 2016, San Diego, USA, February 2016. DOI: 10.14722/ndss.2016.23199 View at Publisher [Publication 3]: Christian Vaas, Mika Juuti, N. Asokan and Ivan Martinovic. Get-in-Line: Ongoing Co-presence Verification for Vehicle Platoons. In IEEE European Symposium on Security and Privacy, Euro S&P 2018, London, UK, April 2018. DOI: 10.1109/EuroSP.2018.00022 View at Publisher [Publication 4]: Mika Juuti, Sebastian Szyller, Samuel Marchal and N. Asokan. PRADA: Protecting Against DNN Model Stealing Attacks. In IEEE European Symposium on Security and Privacy, Euro S&P 2019 (accepted for publication), Stockholm, June 2019.[Publication 5]: Mika Juuti, Buse Gul Atli and N. Asokan. Making targeted black-box evasion attacks effective and efficient. In submission, 2019.[Publication 6]: Tommi Grondahl, Luca Pajola, Mika Juuti, Mauro Conti and N. Asokan. All You Need is “Love”: Evading Hate Speech Detection. In ACM Workshop on Artificial Intelligence and Security, AISec 2018, Toronto, October 2018. DOI: 10.1145/3270101.3270103 View at Publisher [Publication 7]: Mika Juuti, Bo Sun, Tatsuya Mori and N. Asokan. Stay On-Topic: Generating Context-specific Fake Restaurant Reviews. In The European Symposium on Research in Computer Security, ESORICS 2018, Barcelona, Spain, 9. 2018. DOI: 10.1007/978-3-319-99073-6_7 View at Publisher [Errata file]: Errata Mika Juuti DD-134/2019 Publication P4 |
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