A journal paper got accepted

Our paper submitted to the IEICE transactions has been accepted for publication. This is a joint work with NTT Secure Platform Labs. The paper is an extended version of the paper presented at EuroUSEC 2019. Congratulations, Mori-san!

K. Mori, T. Watanabe, Y. Zhou, A. A. Hasegawa, M. Akiyama, and T. Mori, “Comparative Analysis of Three Language Spheres: Are Linguistic and Cultural Differences Reflected in Password Selection Habits?,” IEICE Transactions on Information Systems (accepted for publication) 

 

CLAP dataset has been released

We are delighted to announce that we share the CLAP dataset with the research community. The dataset includes 5,340 PUAs (Potentially-Unwanted Apps) that account for 237 of distinct varieties. More details as well as the way to download the data are available from the CLAP project page. Please feel free to drop us an e-mail message if you want to try out. Enjoy!

CLAP

 

 

Received the distinguished paper award! (NDSS2020)

We proudly announce that our paper presented at NDSS2020 (which is one of the “Top 4” security conferences) got the distinguished paper award! Congratulations, Watanabe-kun, Shioji-san, and Akiyama-san! We believe that this is a steady first footprint for further growth of the Japanese security research community. 

Research Partners

Updated the information about our research partners. Having industry partners is really great to us as we get invaluable opportunities to find/identify interesting research topics that do have impact to the real world. Their financial supports are also greatly appreciated. Hope we can enhance the circle of research collaboration.

Featured on IEEE Spectrum

Our paper published by IEEE Transactions on Emerging Topics in Computing is featured on the website of IEEE Spectrum. 

How to Silently Hack a Smart Speaker

A technique using ultrasound can deliver voice commands to systems such as Google Home and Amazon Echo without bystanders picking up on the cues

By Michelle Hampson

The paper is available from the link below:
R. Iijima, S. Minami, Y. Zhou, T. Takehisa, T. Takahashi, Y. Oikawa, and T. Mori, “Audio Hotspot Attack: An Attack on Voice Assistance Systems Using Directional Sound Beams and its Feasibility,” IEEE Transactions on Emerging Topics in Computing PP(99):1-1 · November 2019 (online early access: https://ieeexplore.ieee.org/document/8906174)

 

Photo-illustration: Waseda University/IEEE Spectrum