Showing 1 - 14 results of 14 for search 'Lovisotto, G', query time: 0.05s
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Seeing Red: PPG Biometrics Using Smartphone Cameras by Lovisotto, G, Eberz, S, Turner, H
Published 2020Other Authors: “…Lovisotto, G…”
Dataset -
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Biometric backdoors: a poisoning attack against unsupervised template updating by Lovisotto, G, Eberz, S, Martinovic, I
Published 2020Conference item -
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Attacking speaker recognition systems with phoneme morphing by Turner, H, Lovisotto, G, Martinovic, I
Published 2019Conference item -
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Generating identities with mixture models for speaker anonymization by Turner, H, Lovisotto, G, Martinovic, I
Published 2021Journal article -
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Common evaluation pitfalls in touch-based authentication systems by Georgiev, M, Lovisotto, G, Eberz, S, Turner, H
Published 2021Dataset -
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Seeing red: PPG biometrics using smartphone cameras by Lovisotto, G, Turner, H, Eberz, S, Martinovic, I
Published 2020Conference item -
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FADEWICH: Fast deauthentication over the wireless channel by Conti, M, Lovisotto, G, Martinovic, I, Tsudik, G
Published 2017Conference item -
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They see me rollin': inherent vulnerability of the rolling shutter in CMOS image sensors by Köhler, S, Lovisotto, G, Birnbach, S, Baker, R, Martinovic, I
Published 2021Conference item -
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28 blinks later: tackling practical challenges of eye movement biometrics by Eberz, S, Lovisotto, G, Rasmussen, K, Lenders, V, Martinovic, I
Published 2019Conference item -
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Common evaluation pitfalls in touch-based authentication systems by Georgiev, M, Eberz, S, Turner, H, Lovisotto, G, Martinovic, I
Published 2022Conference item -
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SLAP: improving physical adversarial examples with short-lived adversarial perturbations by Lovisotto, G, Turner, H, Sluganovic, I, Strohmeier, M, Martinovic, I
Published 2021Conference item -
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Give me your attention: dot-product attention considered harmful for adversarial patch robustness by Lovisotto, G, Finnie, N, Munoz, M, Mummadi, CK, Metzen, JH
Published 2022Conference item -
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When your fitness tracker betrays you: quantifying the predictability of biometric features across contexts by Eberz, S, Lovisotto, G, Patanè, A, Kwiatkowska, M, Lenders, V, Martinovic, I
Published 2018Conference item