PASA: Attack Agnostic Unsupervised Adversarial Detection Using Prediction & Attribution Sensitivity Analysis

Author:

Bhusal Dipkamal1,Alam Md Tanvirul1,Veerabhadran Monish K.1,Clifford Michael2,Rampazzi Sara3,Rastogi Nidhi1

Affiliation:

1. Rochester Institute of Technology,Rochester,NY,USA

2. Toyota Motor North America,Mountain View,CA,USA

3. University of Florida,Gainesville,FL,USA

Publisher

IEEE

Reference75 articles.

1. Detecting adversarial examples and other misclassifications in neural networks by introspection;Aigrain;CoRR,2019

2. Ember: an open dataset for training static pe malware machine learning models;Anderson;arXiv preprint,2018

3. Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems

4. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

5. SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability

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