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09/04/2023
Hawkeye: Change-targeted Testing for Android Apps based on Deep Reinforcement Learning
Android Apps are frequently updated to keep up with changing user, hardw...
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06/10/2023
Fault Localization for Framework Conversions of Image Recognition Models
When deploying Deep Neural Networks (DNNs), developers often convert mod...
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06/05/2023
A Differential Testing Framework to Evaluate Image Recognition Model Robustness
Image recognition tasks typically use deep learning and require enormous...
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06/02/2023
MutateNN: Mutation Testing of Image Recognition Models Deployed on Hardware Accelerators
With the research advancement of Artificial Intelligence in the last yea...
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05/31/2023
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks
Knowledge graphs are powerful tools for representing and organising comp...
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05/29/2023
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition
Explainable AI (XAI) techniques have been widely used to help explain an...
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05/18/2023
Vaxformer: Antigenicity-controlled Transformer for Vaccine Design Against SARS-CoV-2
The SARS-CoV-2 pandemic has emphasised the importance of developing a un...
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03/02/2023
BenchDirect: A Directed Language Model for Compiler Benchmarks
The exponential increase of hardware-software complexity has made it imp...
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02/27/2023
Explanations for Automatic Speech Recognition
We address quality assessment for neural network based ASR by providing ...
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11/01/2022
Exploring Effects of Computational Parameter Changes to Image Recognition Systems
Image recognition tasks typically use deep learning and require enormous...
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08/13/2022
BenchPress: A Deep Active Benchmark Generator
We develop BenchPress, the first ML benchmark generator for compilers th...
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01/27/2022
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities
Using large pre-trained models for image recognition tasks is becoming i...
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12/03/2021
Blackbox Untargeted Adversarial Testing of Automatic Speech Recognition Systems
Automatic speech recognition (ASR) systems are prevalent, particularly i...
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11/23/2020
CAT: Change-focused Android GUI Testing
Android Apps are frequently updated, every couple of weeks, to keep up w...
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08/27/2020
M3: Semantic API Migrations
Library migration is a challenging problem, where most existing approach...
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01/08/2020
Learning to Encode and Classify Test Executions
The challenge of automatically determining the correctness of test execu...
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05/05/2019