Models and Framework for Adversarial Attacks on Complex Adaptive Systems
Authors: Vahid Behzadan, Arslan Munir | Published: 2017-09-13
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EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Authors: Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh | Published: 2017-09-13 | Updated: 2018-02-10
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