Towards Deep Learning Models Resistant to Adversarial Attacks
Authors: Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, Adrian Vladu | Published: 2017-06-19 | Updated: 2019-09-04
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Automated Poisoning Attacks and Defenses in Malware Detection Systems: An Adversarial Machine Learning Approach
Authors: Sen Chen, Minhui Xue, Lingling Fan, Shuang Hao, Lihua Xu, Haojin Zhu, Bo Li | Published: 2017-06-13 | Updated: 2017-10-31
Analysis of Anomalies in the Internet Traffic Observed at the Campus Network Gateway
Authors: Veronica del Carmen Estrada | Published: 2017-06-10
Certified Defenses for Data Poisoning Attacks
Authors: Jacob Steinhardt, Pang Wei Koh, Percy Liang | Published: 2017-06-09 | Updated: 2017-11-24
A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in Empirical Risk Minimization
Authors: Jeffrey Pawlick, Quanyan Zhu | Published: 2017-06-08 | Updated: 2017-10-16
Localization of JPEG double compression through multi-domain convolutional neural networks
Authors: Irene Amerini, Tiberio Uricchio, Lamberto Ballan, Roberto Caldelli | Published: 2017-06-06
Adversarial-Playground: A Visualization Suite for Adversarial Sample Generation
Authors: Andrew Norton, Yanjun Qi | Published: 2017-06-06 | Updated: 2017-06-16
Context-aware, Adaptive and Scalable Android Malware Detection through Online Learning (extended version)
Authors: Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu | Published: 2017-06-03 | Updated: 2017-07-06
MagNet: a Two-Pronged Defense against Adversarial Examples
Authors: Dongyu Meng, Hao Chen | Published: 2017-05-25 | Updated: 2017-09-11
Detecting Malignant TLS Servers Using Machine Learning Techniques
Authors: Sankalp Bagaria, R. Balaji, B. S. Bindhumadhava | Published: 2017-05-25