Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Machine Learning under Attack: Vulnerability Exploitation and Security Measures
The security of machine learning
LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis
Learning a Secure Classifier against Evasion Attack
Analysis and Defensive Tools for Social-Engineering Attacks on Computer Systems
Classes of Vulnerabilities and Attacks
SECURITY EVALUATION OF PATTERN CLASSIFIERS UNDER ATTACK
Classification of SSH Attacks Using Machine Learning Algorithms
Survey of Automated Vulnerability Detection and Exploit Generation Techniques in Cyber Reasoning Systems
Adversarial attacks against intrusion detection systems: Taxonomy, solutions and open issues
Automated Vulnerability Analysis: Leveraging Control Flow for Evolutionary Input Crafting
Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey
On Visual Hallmarks of Robustness to Adversarial Malware
Learn&Fuzz: Machine learning for input fuzzing
An Adversarial Machine Learning Model Against Android Malware Evasion Attacks
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning
Machine Learning in Adversarial Settings
A Review on Taxonomies of Attacks and Vulnerability in Computer and Network System
Defense Mechanisms against Machine Learning Modeling Attacks on Strong Physical Unclonable Functions for IOT Authentication: A Review
Adversarial machine learning
Intrusion Detection in Computer Networks based on Machine Learning Algorithms
Solving 0-1 knapsack problem by greedy degree and expectation efficiency
10–25 NM piezoelectric nano-actuators and NEMS switches for millivolt computational logic
Learning Discrete Hashing Towards Efficient Fashion Recommendation
Stackelberg games for adversarial prediction problems
Clinical response to the canakinumab in crohn’s disease related artrhritis