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08/22/2023
LEAP: Efficient and Automated Test Method for NLP Software
The widespread adoption of DNNs in NLP software has highlighted the need...
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07/17/2023
Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound
Deep neural networks (DNNs) have been widely and successfully adopted an...
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07/12/2023
Neural Free-Viewpoint Relighting for Glossy Indirect Illumination
Precomputed Radiance Transfer (PRT) remains an attractive solution for r...
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12/20/2022
VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion
Keyword spotting (KWS) based on deep neural networks (DNNs) has achieved...
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11/16/2022
PBSM: Backdoor attack against Keyword spotting based on pitch boosting and sound masking
Keyword spotting (KWS) has been widely used in various speech control sc...
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06/24/2022
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective
Neural networks have been widely applied in security applications such a...
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10/06/2021
Generalizing Neural Networks by Reflecting Deviating Data in Production
Trained with a sufficiently large training and testing dataset, Deep Neu...
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03/03/2021
Self-Checking Deep Neural Networks in Deployment
The widespread adoption of Deep Neural Networks (DNNs) in important doma...
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01/10/2021
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification
Relation classification (RC) task is one of fundamental tasks of informa...
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03/10/2020
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction
With an exponential explosive growth of various digital text information...
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07/06/2019
Node-Constrained Traffic Engineering: Theory and Applications
Traffic engineering (TE) is a fundamental task in networking. Convention...
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05/20/2019
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
We present a neural approach called IRNet for complex and cross-domain T...
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06/28/2018
