Projects

Automated Rule Generation by Knowledge Extraction from Neural Networks
Explaining the decision making of deep neural networks via rule extraction.
Automated Rule Generation by Knowledge Extraction from Neural Networks
Boosting DL compilers for adaptive neural networks
Deploy DNNs on resource constrainted devices for edge intelligence.
Boosting DL compilers for adaptive neural networks
Evaluating the Efficiency Robustness of Neural Caption Generation Models
Evaluating the efficiency/energy Robustness of Neural Caption Generation Models
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Evaluating the Efficiency Robustness of Neural Caption Generation Models
Explain Deep Learning Based Code Generation Applications
Design a framework to explain the decision making behind of neural code generation applications.
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Explain Deep Learning Based Code Generation Applications
Exploiting the Availability Vulnerability in Neural Machine Translation Systems
Understanding and Exploiting the Availability Vulnerability in modern neural machine translation systems.
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Exploiting the Availability Vulnerability in Neural Machine Translation Systems