Evasion Attacks against Machine Learning at Test Time
Authors: Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli | Published: 2017-08-21
Secure Search on the Cloud via Coresets and Sketches
Authors: Adi Akavia, Dan Feldman, Hayim Shaul | Published: 2017-08-19
Learning Universal Adversarial Perturbations with Generative Models
Authors: Jamie Hayes, George Danezis | Published: 2017-08-17 | Updated: 2018-01-05
Continuous User Authentication via Unlabeled Phone Movement Patterns
Authors: Rajesh Kumar, Partha Pratim Kundu, Diksha Shukla, Vir V. Phoha | Published: 2017-08-15
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models
Authors: Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh | Published: 2017-08-14 | Updated: 2017-11-02
Cascade Adversarial Machine Learning Regularized with a Unified Embedding
Authors: Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay | Published: 2017-08-08 | Updated: 2018-03-17
Fake News Detection on Social Media: A Data Mining Perspective
Authors: Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu | Published: 2017-08-07 | Updated: 2017-09-03
Adversarial-Playground: A Visualization Suite Showing How Adversarial Examples Fool Deep Learning
Authors: Andrew P. Norton, Yanjun Qi | Published: 2017-08-01
Quantum Privacy-Preserving Perceptron
Authors: Shenggang Ying, Mingsheng Ying, Yuan Feng | Published: 2017-07-31
Predicting Exploitation of Disclosed Software Vulnerabilities Using Open-source Data
Authors: Benjamin L. Bullough, Anna K. Yanchenko, Christopher L. Smith, Joseph R. Zipkin | Published: 2017-07-25