When Your Fitness Tracker Betrays You: Quantifying the Predictability of Biometric Features Across Contexts Simon Eberz∗ , Giulio Lovisotto∗ , Andrea Patan`e∗ , Marta Kwiatkowska∗ , Vincent Lenders† and Ivan Ma

Source URL: qav.comlab.ox.ac.uk

• Security engineering
• Biometrics
• Cryptography
• Prevention
• Surveillance
• Security
• Identification
• Authentication
• Facial recognition system
• Password
• Computer security
• Replay attack

When Your Fitness Tracker Betrays You: Quantifying the Predictability of Biometric Features Across Contexts Simon Eberz∗ , Giulio Lovisotto∗ , Andrea Patan`e∗ , Marta Kwiatkowska∗ , Vincent Lenders† and Ivan Ma

Source URL: www.lenders.ch

• Security engineering
• Biometrics
• Cryptography
• Prevention
• Surveillance
• Security
• Identification
• Authentication
• Facial recognition system
• Password
• Computer security
• Replay attack

Intrinsic versus Practical Limits of Multi-Scale Atmospheric Predictability Professor Fuqing Zhang Director, Penn State Center for Advanced Data Assimilation and Predictability

Source URL: iprc.soest.hawaii.edu

CASE STUDY PRIVATE MARKETPLACE – GUARANTEED (PMP-G) For advertisers and publishers looking for the scale and data advantages of the open market, with the predictability and brand safety of direct sold campaigns, Priva

Source URL: pubmatic.com

Pockets of Predictability Leland E. Farmer University of Virginia Lawrence Schmidt University of Chicago

Source URL: gsf.aalto.fi

WCET Analysis with MRU Caches: Challenging LRU for Predictability Nan Guan Uppsala University, Sweden Email:

Source URL: user.it.uu.se

Foundation of Diagnosis and Predictability in Probabilistic Systems∗ Nathalie Bertrand1 , Serge Haddad2 , and Engel Lefaucheux1,2 1 2

Source URL: people.rennes.inria.fr

High-rank Ensemble Transform Kalman Filter (HETKF) Bo Huang and Xuguang Wang Multi-scale data Assimilation and Predictability (MAP) Laboratory School of Meteorology, University of Oklahoma, Norman, OK

Source URL: web.meteo.mcgill.ca

A Top-Down Approach to Achieving Performance Predictability in Database Systems Jiamin Huang, Barzan Mozafari, Grant Schoenebeck, Thomas F. Wenisch University of Michigan, Ann Arbor {jiamin, mozafari, schoeneb, twenisch

Source URL: web.eecs.umich.edu

9C.5 TROPICAL CYCLONE INTENSITY CHANGE PREDICTABILITY ESTIMATES USING A STATISTICAL-DYNAMICAL MODEL Mark DeMaria* NOAA/NESDIS/StAR, Fort Collins, CO

Source URL: rammb.cira.colostate.edu