Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Machine Learning in Adversarial Settings
Boosting Adversarial Attacks with Momentum
Synthesizing Robust Adversarial Examples
A Game-Theoretic Analysis of Adversarial Classification
Adversarial Attacks and Defences: A Survey
Learning Adversary-Resistant Deep Neural Networks
On Visual Hallmarks of Robustness to Adversarial Malware
Delving into Transferable Adversarial Examples and Black-box Attacks
The Taboo Trap: Behavioural Detection of Adversarial Samples
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Adversarial classification
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Fundamental limits on adversarial robustness
Scaling provable adversarial defenses
Assessing Threat of Adversarial Examples on Deep Neural Networks
A General Retraining Framework for Scalable Adversarial Classification
Exploring the space of adversarial images
Limitations of adversarial robustness: strong No Free Lunch Theorem
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
The Robust Manifold Defense: Adversarial Training using Generative Models
Painful Temporomandibular Disorder: Decade of Discovery from OPPERA Studies
An improved GA and a novel PSO-GA-based hybrid algorithm
NAG: Network for Adversary Generation
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks
Class based dynamic priority scheduling for uplink to support M2M communications in LTE