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A cost-effective and scalable way AI is helping to mitigate aviation’s climate impact
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Bidding Languages for Combinatorial Auctions
Craig Boutilier
Holger H. Hoos
IJCAI (2001), pp. 1211-1217
Profile-based string kernels for remote homology detection and motif extraction
Rui Kuang
Eugene Ie
Ke Wang
Kai Wang
Mahira Siddiqi
Yoav Freund
Christina Leslie
Journal of Bioinformatics and Computational Biology, 3 (2005), pp. 527-550
Expert and Non-Expert Attitudes towards (Secure) Instant Messaging
Alexander De Luca
Sauvik Das
Martin Ortlieb
Iulia Ion
Ben Laurie
Twelfth Symposium on Usable Privacy and Security (SOUPS 2016), USENIX Association, Denver, CO, pp. 147-157
Preview abstract In this paper, we present results from an online survey with 1,510 participants and an interview study with 31 participants on (secure) mobile instant messaging. Our goal was to uncover how much of a role security and privacy played in people's decisions to use a mobile instant messenger. In the interview study, we recruited a balanced sample of IT security experts and non-experts, as well as an equal split of users of mobile instant messengers that are advertised as being more secure and/or private (e.g., Threema) than traditional mobile IMs. Our results suggest that peer influence is what primarily drives people to use a particular mobile IM, even for secure/private IMs, and that security and privacy play minor roles. View details

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