scholar.google.com › citations
Nov 5, 2018 · We show that recent advancements in the active learning domain can be used to implement powerful model extraction attacks, and investigate possible defense ...
People also ask
What model of learning is active learning?
What is active learning in a neural network?
What is the difference between active learning and reinforcement learning?
What is active learning in data mining?
We design ActiveThief – a model extraction framework for deep neural networks that makes use of active learning techniques and unannotated public datasets to ...
Aug 12, 2020 · In particular, we show that recent advancements in the active learning domain can be used to implement powerful model extraction attacks, and.
In particular, we show that recent advancements in the active learning domain can be used to implement powerful model extraction attacks, and investigate ...
We design ACTIVETHIEF – a model extraction framework for deep neural networks that makes use of active learning techniques and unannotated pub- lic datasets to ...
People also search for
Jan 29, 2020 · model extraction, active learning and model reverse-engineering. 6.1 Model extraction. We further categorize prior work on model extraction ...
It is shown that recent advancements in the active learning domain can be used to implement powerful model extraction attacks, and investigate possible ...
Connection to Active Learning. 8. Model Extraction ≅ Active Learning. Approximation. Page 9. How to Generate Queries? Model Extraction ≅ Query Synthesis Active ...
May 21, 2020 · For example, active learning has been shown to be amenable to model extraction attacks (see Tramer et al. or Chandrasekaran et al.). Active ...
Mar 19, 2024 · This study presents an innovative and efficient approach to model extraction attacks, aimed at reducing query costs and enhancing attack ...