Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning
Authors: Hyrum S. Anderson, Anant Kharkar, Bobby Filar, David Evans, Phil Roth | Published: 2018-01-26 | Updated: 2018-01-30
Forecasting Suspicious Account Activity at Large-Scale Online Service Providers
Authors: Hassan Halawa, Matei Ripeanu, Konstantin Beznosov, Baris Coskun, Meizhu Liu | Published: 2018-01-25
Secure $k$-ish Nearest Neighbors Classifier
Authors: Hayim Shaul, Dan Feldman, Daniela Rus | Published: 2018-01-22 | Updated: 2019-04-30
IoT Security Techniques Based on Machine Learning
Authors: Liang Xiao, Xiaoyue Wan, Xiaozhen Lu, Yanyong Zhang, Di Wu | Published: 2018-01-19
Blind De-anonymization Attacks using Social Networks
Authors: Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby Lee | Published: 2018-01-17
Gazelle: A Low Latency Framework for Secure Neural Network Inference
Authors: Chiraag Juvekar, Vinod Vaikuntanathan, Anantha Chandrakasan | Published: 2018-01-16
Sparsity-based Defense against Adversarial Attacks on Linear Classifiers
Authors: Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow, Ramtin Pedarsani | Published: 2018-01-15 | Updated: 2018-06-19
Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks
Authors: Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu | Published: 2018-01-15
A3T: Adversarially Augmented Adversarial Training
Authors: Akram Erraqabi, Aristide Baratin, Yoshua Bengio, Simon Lacoste-Julien | Published: 2018-01-12
Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks
Authors: Yongshuai Liu, Jiyu Chen, Hao Chen | Published: 2018-01-09 | Updated: 2018-12-08