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Non-Generative Energy Based Models
Energy-based models (EBM) have become increasingly popular within computer vision.
Explain To Me: Salience-Based Explainability for Synthetic Face Detection Models
In this paper, we propose five novel methods of leveraging model salience to explain a model behavior at scale.
Improving Model's Focus Improves Performance of Deep Learning-Based Synthetic Face Detectors
Deep learning-based models generalize better to unknown data samples after being guided "where to look" by incorporating human perception into training strategies.
On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks
Recreating cyber-attack alert data with a high level of fidelity is challenging due to the intricate interaction between features, non-homogeneity of alerts, and potential for rare yet critical samples.
Visual Recognition of Paper Analytical Device Images for Detection of Falsified Pharmaceuticals
These cards have different reagents embedded in them which produce a set of distinctive color descriptors upon reacting with the chemical compounds that constitute pharmaceutical dosage forms.
