Machine Learning Models that Remember Too Much
Authors: Congzheng Song, Thomas Ristenpart, Vitaly Shmatikov | Published: 2017-09-22
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Automatic Detection of Malware-Generated Domains with Recurrent Neural Models
Authors: Pierre Lison, Vasileios Mavroeidis | Published: 2017-09-20
Practical Machine Learning for Cloud Intrusion Detection: Challenges and the Way Forward
Authors: Ram Shankar Siva Kumar, Andrew Wicker, Matt Swann | Published: 2017-09-20
Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification
Authors: Xiaoyu Cao, Neil Zhenqiang Gong | Published: 2017-09-17 | Updated: 2019-12-31
Detection of Unauthorized IoT Devices Using Machine Learning Techniques
Authors: Yair Meidan, Michael Bohadana, Asaf Shabtai, Martin Ochoa, Nils Ole Tippenhauer, Juan Davis Guarnizo, Yuval Elovici | Published: 2017-09-14
Models and Framework for Adversarial Attacks on Complex Adaptive Systems
Authors: Vahid Behzadan, Arslan Munir | Published: 2017-09-13
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