Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: AdGraph: A Machine Learning Approach to Automatic and Effective Adblocking
Detecting Anti Ad-blockers in the Wild
ISPs and Ad Networks Against Botnet Ad Fraud
A Hybrid Abnormal Advertising Traffic Detection Method
Detecting adversarial advertisements in the wild
A collaborative filtering approach to ad recommendation using the query-ad click graph
Deep & Cross Network for Ad Click Predictions
Automated Experiments on Ad Privacy Settings
Adaptive Statistical Optimization Techniques for Firewall Packet Filtering
Structural analysis and detection of android botnets using machine learning techniques
Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction
Applying machine learning to ads integrity at Facebook
Adaptive Intrusion Detection Using Machine Learning
An Adversarial Machine Learning Model Against Android Malware Evasion Attacks
Filtron: A Learning-Based Anti-Spam Filter
DECAF: detecting and characterizing ad fraud in mobile apps
Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection
Usilng Machine Learning Technliques to Identify Botnet Traffic
A Novel Ensemble Learning-Based Approach for Click Fraud Detection in Mobile Advertising
A New Adaptive Learning Algorithm and Its Application to Online Malware Detection
An adaptive system for detecting malicious queries in web attacks
an exploratory study of the pull - based software development model .
What do online behavioral advertising privacy disclosures communicate to users?
A Mobile Cloud Computing Middleware for Low Latency Offloading of Big Data
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
Degradation mechanisms of silicone rubber (SiR) by accelerated ageing for cables of nuclear power plant