Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Intrusion detection systems vulnerability on adversarial examples
Explaining and Harnessing Adversarial Examples
Extreme learning machines for intrusion detection
A Framework for an Adaptive Intrusion Detection System using Bayesian Network
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Provable defenses against adversarial examples via the convex outer adversarial polytope
A general metric for identifying adversarial images
Intrusion detection using deep belief networks
The Space of Transferable Adversarial Examples
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong
Detecting Adversarial Samples from Artifacts
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware
Machine Learning as an Adversarial Service: Learning Black-Box Adversarial Examples
Sitatapatra: Blocking the Transfer of Adversarial Samples
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Exploring the space of adversarial images
Towards a Taxonomy of Intrusion-Detection Systems
The Feature Selection and Intrusion Detection Problems
Feature deduction and ensemble design of intrusion detection systems
Improving Transferability of Adversarial Examples With Input Diversity
EagleEye: Attack-Agnostic Defense against Adversarial Inputs (Technical Report)
Lossless Compression in Bayer Color Filter Array for Capsule Endoscopy
paradoxes , self - reference and truth in the 20th century .
The multilayer perceptron as an approximation to a Bayes optimal discriminant function
WDM FSO network with turbulence-accentuated interchannel crosstalk
Genetic Control of Biosynthesis and Transport of Riboflavin and Flavin Nucleotides and Construction of Robust Biotechnological Producers