research
∙
09/04/2023
BadSQA: Stealthy Backdoor Attacks Using Presence Events as Triggers in Non-Intrusive Speech Quality Assessment
Non-Intrusive speech quality assessment (NISQA) has gained significant a...
share
research
∙
08/08/2023
Evil Operation: Breaking Speaker Recognition with PaddingBack
Machine Learning as a Service (MLaaS) has gained popularity due to advan...
research
∙
08/04/2023
Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition
Optical Character Recognition (OCR) enables automatic text extraction fr...
research
∙
06/28/2023
Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion
Deep speech classification has achieved tremendous success and greatly p...
research
∙
09/03/2022
Semi-Supervised Semantic Segmentation with Cross Teacher Training
Convolutional neural networks can achieve remarkable performance in sema...
research
∙
06/30/2022
Detecting and Recovering Adversarial Examples from Extracting Non-robust and Highly Predictive Adversarial Perturbations
Deep neural networks (DNNs) have been shown to be vulnerable against adv...
research
∙
06/16/2022
Adversarial Privacy Protection on Speech Enhancement
Speech is easily leaked imperceptibly, such as being recorded by mobile ...
research
∙
05/16/2022
Transferability of Adversarial Attacks on Synthetic Speech Detection
Synthetic speech detection is one of the most important research problem...
research
∙
03/22/2022
Residual-Guided Non-Intrusive Speech Quality Assessment
This paper proposes an approach to improve Non-Intrusive speech quality ...
research
∙
10/06/2021
Adversarial Attacks on Machinery Fault Diagnosis
Despite the great progress of neural network-based (NN-based) machinery ...
research
∙
08/31/2021
Adversarial Example Devastation and Detection on Speech Recognition System by Adding Random Noise
An automatic speech recognition (ASR) system based on a deep neural netw...
research
∙
04/20/2021