Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Piracy Resistant Watermarks for Deep Neural Networks   As companies continue to invest heavily in larger, more accurate and more
robust deep learning models, they are exploring approaches to monetize their
models while protecting their intellectual property. Model licensing is
promising, but requires a robust tool for owners to claim ownership of models,
i.e. a watermark. Unfortunately, current designs have not been able to address
piracy attacks, where third parties falsely claim model ownership by embedding
their own "pirate watermarks" into an already-watermarked model. We observe
that resistance to piracy attacks is fundamentally at odds with the current use
of incremental training to embed watermarks into models. In this work, we
propose null embedding, a new way to build piracy-resistant watermarks into
DNNs that can only take place at a model's initial training. A null embedding
takes a bit string (watermark value) as input, and builds strong dependencies
between the model's normal classification accuracy and the watermark. As a
result, attackers cannot remove an embedded watermark via tuning or incremental
training, and cannot add new pirate watermarks to already watermarked models.
We empirically show that our proposed watermarks achieve piracy resistance and
other watermark properties, over a wide range of tasks and models. Finally, we
explore a number of adaptive counter-measures, and show our watermark remains
robust against a variety of model modifications, including model fine-tuning,
compression, and existing methods to detect/remove backdoors. Our watermarked
models are also amenable to transfer learning without losing their watermark
properties.

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The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
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The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
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The categories of this paper are: nucl-ex
26
The categories of this paper are: bayes-an