3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 3 cited
Making targeted black-box evasion attacks effective and efficient
Mika Juuti, Buse Gul Atli, N. Asokan
We investigate how an adversary can optimally use its query budget for targeted evasion attacks against deep neural networks in a black-box setting. We formalize the problem settin…
cs.CR2018★ 1 cited
Stay On-Topic: Generating Context-specific Fake Restaurant Reviews
Mika Juuti, Bo Sun, Tatsuya Mori +1
Automatically generated fake restaurant reviews are a threat to online review systems. Recent research has shown that users have difficulties in detecting machine-generated fake re…
cs.CR2016
STASH: Securing transparent authentication schemes using prover-side proximity verification
Mika Juuti, Christian Vaas, Ivo Sluganovic +3
Transparent authentication (TA) schemes are those in which a user is authenticated by a verifier without requiring explicit user interaction. By doing so, those schemes promise hig…