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

First Page		Document Content
Date: 2018-04-03 02:53:51 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 Add to Reading List Source URL: qav.comlab.ox.ac.uk Download Document from Source Website File Size: 2,45 MB Share Document on Facebook

	Is Interaction Necessary for Distributed Private Learning? Adam Smith∗ , Abhradeep Thakurta† , Jalaj Upadhyay∗ of Electrical Engineering and Computer Science, Pennsylvania State University, Email: {asmith, jalaj}@p DocID: 1xVSf - View Document
	Threat modeling, incident command, & DDoS mitigation Maarten Van Horenbeeck Vp of Security Engineering, Fastly Dr. Jose Nazario DocID: 1xVM5 - View Document
	Poster: Design of Backdoor on Android Devices Junsung Cho, Geumhwan Cho, Sangwon Hyun and Hyoungshick Kim Department of Computer Science and Engineering, Sungkyunkwan University, Republic of Korea Email: {js.cho, geumhwa DocID: 1xVn0 - View Document
	Poster: An Analysis of Targeted Password Guessing Using Neural Networks Huan Zhou, Qixu Liu, Fangjiao Zhang Institute of Information Engineering, Chinese Academy of Sciences School of Cyber Security, University of Chines DocID: 1xUTK - View Document
	Poster：A New Approach to Detecting Ransomware with Deception Yun Feng, Chaoge Liu, Baoxu Liu Institute of Information Engineering, Chinese Academy of Sciences School of Cyber Security, University of Chinese Academy of DocID: 1xUT1 - View Document