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cs.LG2021
Towards creativity characterization of generative models via group-based subset scanning
Celia Cintas, Payel Das, Brian Quanz +3
Deep generative models, such as Variational Autoencoders (VAEs), have been employed widely in computational creativity research. However, such models discourage out-of-distribution…
cs.LG2020
Identifying Audio Adversarial Examples via Anomalous Pattern Detection
Victor Akinwande, Celia Cintas, Skyler Speakman +1
Audio processing models based on deep neural networks are susceptible to adversarial attacks even when the adversarial audio waveform is 99.9% similar to a benign sample. Given the…