Practical Black-Box Attacks against Machine Learning
Authors: Nicolas Papernot, Patrick McDaniel, Ian Goodfellow, Somesh Jha, Z. Berkay Celik, Ananthram Swami | Published: 2016-02-08 | Updated: 2017-03-19
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YOURPRIVACYPROTECTOR, A recommender system for privacy settings in social networks
Authors: Kambiz Ghazinour, Stan Matwin, Marina Sokolova | Published: 2016-02-05
When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries
Authors: Aylin Caliskan, Fabian Yamaguchi, Edwin Dauber, Richard Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan | Published: 2015-12-28 | Updated: 2017-12-18
Using Data Analytics to Detect Anomalous States in Vehicles
Authors: Sandeep Nair Narayanan, Sudip Mittal, Anupam Joshi | Published: 2015-12-25
Deep-Spying: Spying using Smartwatch and Deep Learning
Authors: Tony Beltramelli, Sebastian Risi | Published: 2015-12-17
A machine learning approach to anomaly-based detection on Android platforms
Authors: Joshua Abah, Waziri O. V, Abdullahi M. B, Arthur U. M, Adewale O. S | Published: 2015-12-13
Where You Are Is Who You Are: User Identification by Matching Statistics
Authors: Farid M. Naini, Jayakrishnan Unnikrishnan, Patrick Thiran, Martin Vetterli | Published: 2015-12-09
Explaining reviews and ratings with PACO: Poisson Additive Co-Clustering
Authors: Chao-Yuan Wu, Alex Beutel, Amr Ahmed, Alexander J. Smola | Published: 2015-12-06
The Limitations of Deep Learning in Adversarial Settings
Authors: Nicolas Papernot, Patrick McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik, Ananthram Swami | Published: 2015-11-24
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
Authors: Nicolas Papernot, Patrick McDaniel, Xi Wu, Somesh Jha, Ananthram Swami | Published: 2015-11-14 | Updated: 2016-03-14