Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: One-network Adversarial Fairness
A Confidence-Based Approach for Balancing Fairness and Accuracy
Ensemble Adversarial Training: Attacks and Defenses
Biologically inspired protection of deep networks from adversarial attacks
Idealised Bayesian Neural Networks Cannot Have Adversarial Examples: Theoretical and Empirical Study
Adversarial Balancing for Causal Inference
Analysis of universal adversarial perturbations
On Evaluating Adversarial Robustness
Detecting Adversarial Examples in Deep Networks with Adaptive Noise Reduction
Adversarial Gain
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Foundations of Adversarial Machine Learning
MagNet and"Efficient Defenses Against Adversarial Attacks"are Not Robust to Adversarial Examples
Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks
Adversarial Examples Generation and Defense Based on Generative Adversarial Network
A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples
50 Years of Test (Un)fairness: Lessons for Machine Learning
Vulnerability of Machine Learning Models to Adversarial Examples
Achieving Privacy in the Adversarial Multi-Armed Bandit
The Case for Process Fairness in Learning: Feature Selection for Fair Decision Making
An Explainable Adversarial Robustness Metric for Deep Learning Neural Networks
Casalendar: a temporal interface for automated homes
Unsupervised Domain Adaptation by Domain Invariant Projection
Parameter estimation of double exponential pulses (EMP, UWB) with least squares and Nelder Mead algorithm
Microwave-Based Noninvasive Concentration Measurements for Biomedical Applications
Ensemble clustering using factor graph