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06/13/2023
Large-scale Language Model Rescoring on Long-form Data
In this work, we study the impact of Large-scale Language Models (LLM) o...
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10/09/2021
Universal Paralinguistic Speech Representations Using Self-Supervised Conformers
Many speech applications require understanding aspects beyond the words ...
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07/08/2021
Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models
Adversarial examples pose a threat to deep neural network models in a va...
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04/05/2021
SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network
We present SpeechStew, a speech recognition model that is trained on a c...
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11/06/2020
Towards Obfuscated Malware Detection for Low Powered IoT Devices
With the increased deployment of IoT and edge devices into commercial an...
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11/06/2020
A survey on practical adversarial examples for malware classifiers
Machine learning based solutions have been very helpful in solving probl...
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05/23/2019
Thwarting finite difference adversarial attacks with output randomization
Adversarial examples pose a threat to deep neural network models in a va...
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04/09/2019
Short Paper: Creating Adversarial Malware Examples using Code Insertion
There has been an increased interest in the application of convolutional...
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01/18/2018