Security Threats and Defensive Approaches in Machine Learning System Under Big Data Environment

A Two-Stream Network Based on Capsule Networks and Sliced Recurrent Neural Networks for DGA Botnet Detection

(2020) Xinjun Pei et al.   Journal of Network and Systems Management

Improving Cognitive Ability of Edge Intelligent IIoT through Machine Learning

(2019) Baotong Chen et al.   IEEE NETWORK

One Pixel Attack for Fooling Deep Neural Networks

(2019) Jiawei Su et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Adversarial-Example Attacks Toward Android Malware Detection System

(2019) Heng Li et al.   IEEE Systems Journal

Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning

(2018) Battista Biggio et al.   PATTERN RECOGNITION

Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

(2018) Naveed Akhtar et al.   IEEE Access

A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View

(2018) Qiang Liu et al.   IEEE Access

Adversarial Feature Selection Against Evasion Attacks

(2016) Fei Zhang et al.   IEEE Transactions on Cybernetics

Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare

(2015) Mehran Mozaffari-Kermani et al.   IEEE Journal of Biomedical and Health Informatics

A survey and experimental evaluation of image spam filtering techniques

(2011) Battista Biggio et al.   PATTERN RECOGNITION LETTERS