Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks
Authors: Thilo Strauss, Markus Hanselmann, Andrej Junginger, Holger Ulmer | Published: 2017-09-11 | Updated: 2018-02-08
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
Authors: Abien Fred Agarap | Published: 2017-09-10 | Updated: 2019-02-07
Towards Proving the Adversarial Robustness of Deep Neural Networks
Authors: Guy Katz, Clark Barrett, David L. Dill, Kyle Julian, Mykel J. Kochenderfer | Published: 2017-09-08
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
Authors: Samuel Yeom, Irene Giacomelli, Matt Fredrikson, Somesh Jha | Published: 2017-09-05 | Updated: 2018-05-04
PassGAN: A Deep Learning Approach for Password Guessing
Authors: Briland Hitaj, Paolo Gasti, Giuseppe Ateniese, Fernando Perez-Cruz | Published: 2017-09-01 | Updated: 2019-02-14
RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release
Authors: Thee Chanyaswad, Changchang Liu, Prateek Mittal | Published: 2017-08-31 | Updated: 2018-10-16
On Security and Sparsity of Linear Classifiers for Adversarial Settings
Authors: Ambra Demontis, Paolo Russu, Battista Biggio, Giorgio Fumera, Fabio Roli | Published: 2017-08-31
Coppersmith’s lattices and “focus groups”: an attack on small-exponent RSA
Authors: Stephen D. Miller, Bhargav Narayanan, Ramarathnam Venkatesan | Published: 2017-08-30 | Updated: 2020-12-16
Implicit Smartphone User Authentication with Sensors and Contextual Machine Learning
Authors: Wei-Han Lee, Ruby B. Lee | Published: 2017-08-30
POISED: Spotting Twitter Spam Off the Beaten Paths
Authors: Shirin Nilizadeh, Francois Labreche, Alireza Sedighian, Ali Zand, Jose Fernandez, Christopher Kruegel, Gianluca Stringhini, Giovanni Vigna | Published: 2017-08-29