AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference
Authors: Qian Lou, Song Bian, Lei Jiang | Published: 2020-06-07 | Updated: 2020-10-15
Performance Evaluation
COVID-19 and Your Smartphone: BLE-based Smart Contact Tracing
Authors: Pai Chet Ng, Petros Spachos, Konstantinos Plataniotis | Published: 2020-05-28
On the Difficulty of Membership Inference Attacks
Authors: Shahbaz Rezaei, Xin Liu | Published: 2020-05-27 | Updated: 2021-03-22
A Framework for Behavioral Biometric Authentication using Deep Metric Learning on Mobile Devices
Authors: Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang | Published: 2020-05-26 | Updated: 2020-08-17
Clonability of anti-counterfeiting printable graphical codes: a machine learning approach
Authors: Olga Taran, Slavi Bonev, Slava Voloshynovskiy | Published: 2019-03-18
Identifying Malicious Web Domains Using Machine Learning Techniques with Online Credibility and Performance Data
Authors: Zhongyi Hu, Raymond Chiong, Ilung Pranata, Willy Susilo, Yukun Bao | Published: 2019-02-23
Optimizing Stochastic Gradient Descent in Text Classification Based on Fine-Tuning Hyper-Parameters Approach. A Case Study on Automatic Classification of Global Terrorist Attacks
Authors: Shadi Diab | Published: 2019-02-18 | Updated: 2019-02-23
TensorSCONE: A Secure TensorFlow Framework using Intel SGX
Authors: Roland Kunkel, Do Le Quoc, Franz Gregor, Sergei Arnautov, Pramod Bhatotia, Christof Fetzer | Published: 2019-02-12
Reaching Data Confidentiality and Model Accountability on the CalTrain
Authors: Zhongshu Gu, Hani Jamjoom, Dong Su, Heqing Huang, Jialong Zhang, Tengfei Ma, Dimitrios Pendarakis, Ian Molloy | Published: 2018-12-07
Three Tools for Practical Differential Privacy
Authors: Koen Lennart van der Veen, Ruben Seggers, Peter Bloem, Giorgio Patrini | Published: 2018-12-07