Adversarial Perturbations Against Deep Neural Networks for Malware Classification
Authors: Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes, Patrick McDaniel | Published: 2016-06-14 | Updated: 2016-06-16
The Crossover Process: Learnability and Data Protection from Inference Attacks
Authors: Richard Nock, Giorgio Patrini, Finnian Lattimore, Tiberio Caetano | Published: 2016-06-13 | Updated: 2017-03-07
Curie: A method for protecting SVM Classifier from Poisoning Attack
Authors: Ricky Laishram, Vir Virander Phoha | Published: 2016-06-05 | Updated: 2016-06-07
Machine Learning for E-mail Spam Filtering: Review,Techniques and Trends
Authors: Alexy Bhowmick, Shyamanta M. Hazarika | Published: 2016-06-03
SUIS: An Online Graphical Signature-Based User Identification System
Authors: Shahid Alam | Published: 2016-05-29
Data-driven software security: Models and methods
Authors: Úlfar Erlingsson | Published: 2016-05-27
Deep Structured Energy Based Models for Anomaly Detection
Authors: Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang | Published: 2016-05-25 | Updated: 2016-06-16
A note on privacy preserving iteratively reweighted least squares
Authors: Mijung Park, Max Welling | Published: 2016-05-24
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Authors: Nicolas Papernot, Patrick McDaniel, Ian Goodfellow | Published: 2016-05-24
A First Look at Ad-block Detection: A New Arms Race on the Web
Authors: Muhammad Haris Mughees, Zhiyun Qian, Zubair Shafiq, Karishma Dash, Pan Hui | Published: 2016-05-19