34 citations · 43 across the 2 of their papers we have counts for
8 papers
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples
Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg +1
Recent efforts have shown that neural text processing models are vulnerable to adversarial examples, but the nature of these examples is poorly understood. In this work, we show th…
Conditional Adversarial Camera Model Anonymization
Jerone T. A. Andrews, Yidan Zhang, Lewis D. Griffin
The model of camera that was used to capture a particular photographic image (model attribution) is typically inferred from high-frequency model-specific artifacts present within t…
Multiple-Identity Image Attacks Against Face-based Identity Verification
Jerone T. A. Andrews, Thomas Tanay, Lewis D. Griffin
Facial verification systems are vulnerable to poisoning attacks that make use of multiple-identity images (MIIs)---face images stored in a database that resemble multiple persons,…
A New Angle on L2 Regularization
Thomas Tanay, Lewis D Griffin
Imagine two high-dimensional clusters and a hyperplane separating them. Consider in particular the angle between: the direction joining the two clusters' centroids and the normal t…
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations
Thomas Tanay, Jerone T. A. Andrews, Lewis D. Griffin
Designing models that are robust to small adversarial perturbations of their inputs has proven remarkably difficult. In this work we show that the reverse problem---making models m…
Machine learning based localization and classification with atomic magnetometers
Cameron Deans, Lewis D. Griffin, Luca Marmugi +1
We demonstrate identification of position, material, orientation and shape of objects imaged by an Rb atomic magnetometer performing electromagnetic induction imaging suppor…