Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain

A feature-vector generative adversarial network for evading PDF malware classifiers

(2020) Yuanzhang Li et al.   INFORMATION SCIENCES

Adversarial Samples on Android Malware Detection Systems for IoT Systems

(2019) Xiaolei Liu et al.   SENSORS

Adversarial Deep Learning in EEG Biometrics

(2019) Ozan Ozdenizci et al.   IEEE SIGNAL PROCESSING LETTERS

Characterizing and Evaluating Adversarial Examples for Offline Handwritten Signature Verification

(2019) Luiz G. Hafemann et al.   IEEE Transactions on Information Forensics and Security

Automated poisoning attacks and defenses in malware detection systems: An adversarial machine learning approach

(2018) Sen Chen et al.   COMPUTERS & SECURITY

Quantifying the resilience of machine learning classifiers used for cyber security

(2018) Ziv Katzir et al.   EXPERT SYSTEMS WITH APPLICATIONS

Data driven exploratory attacks on black box classifiers in adversarial domains

(2018) Tegjyot Singh Sethi et al.   NEUROCOMPUTING

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

(2018) Naveed Akhtar et al.   IEEE Access

Deep Learning Based Intrusion Detection With Adversaries

(2018) Zheng Wang   IEEE Access

Security Evaluation of Pattern Classifiers under Attack

(2013) Battista Biggio et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

The security of machine learning

(2010) Marco Barreno et al.   MACHINE LEARNING