Security Evaluation Of Pattern Classifiers Under Attack

·2014·DOI

Engineering and Technology

Communication and Signal Processing

Information Security and Privacy

Adversarial Machine Learning Practices

Role in the Field

Neutralin Engineering and Technology

Neutralin Communication and Signal Processing

Neutralin Information Security and Privacy

Neutralin Adversarial Machine Learning Practices

Abstract

Citations

292

Year

2014

PageRank

3.6 / 10

Relative influence (log-scaled)

Related Papers

11 of 11 papers

Machine Learning In IoT Security: Current Solutions And Future Challenges

·2020·512 citations

A Survey On The Detection Algorithms For False Data Injection Attacks In Smart Grids

·2020·469 citations

Neural Cleanse: Identifying And Mitigating Backdoor Attacks In Neural Networks

·2019·660 citations

Trojaning Attack On Neural Networks

·2018·551 citations

Practical Black-Box Attacks Against Machine Learning

·2017·1,884 citations

Detecting Stealthy False Data Injection Using Machine Learning In Smart Grid

·2017·431 citations

Model Inversion Attacks That Exploit Confidence Information And Basic Countermeasures

·2015·1,548 citations

The Security Of Machine Learning

·2010·500 citations

Introducing The Global Terrorism Database

·2007·450 citations

Can Machine Learning Be Secure?

·2006·485 citations

Fuzzy Identity-Based Encryption

·2005·2,239 citations