Papers by Zhi Qin Tan
An Embarrassingly Simple Approach for Intellectual Property Rights Protection on Recurrent Neural Networks (2022.aacl-main)
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| Challenge: | Existing protection schemes for deep neural network models protect intellectual property rights from being abused, stolen and plagiarized. |
| Approach: | They propose a practical approach for the IPR protection on recurrent neural networks without all the bells and whistles of existing IPR solutions. |
| Outcome: | The proposed approach is robust and effective against ambiguity and removal attacks on different RNN variants. |