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06/08/2022
Can Backdoor Attacks Survive Time-Varying Models?
Backdoors are powerful attacks against deep neural networks (DNNs). By p...
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11/01/2021
Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph
Query graph building aims to build correct executable SPARQL over the kn...
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09/12/2021
Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning
Single-table text-to-SQL aims to transform a natural language question i...
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09/08/2021
Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base
Formal query building is an important part of complex question answering...
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06/24/2020
Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks
The vulnerability of deep neural networks (DNNs) to adversarial examples...
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02/19/2020
Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models
Today's proliferation of powerful facial recognition models poses a real...
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10/02/2019
Persistent and Unforgeable Watermarks for Deep Neural Networks
As deep learning classifiers continue to mature, model providers with su...
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05/24/2019
Regula Sub-rosa: Latent Backdoor Attacks on Deep Neural Networks
Recent work has proposed the concept of backdoor attacks on deep neural ...
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04/17/2019
