Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine Learning Models Disclosure from Trusted Research Environments
  (TRE), Challenges and Opportunities   Trusted Research environments (TRE)s are safe and secure environments in
which researchers can access sensitive data. With the growth and diversity of
medical data such as Electronic Health Records (EHR), Medical Imaging and
Genomic data, there is an increase in the use of Artificial Intelligence (AI)
in general and the subfield of Machine Learning (ML) in particular in the
healthcare domain. This generates the desire to disclose new types of outputs
from TREs, such as trained machine learning models. Although specific
guidelines and policies exists for statistical disclosure controls in TREs,
they do not satisfactorily cover these new types of output request. In this
paper, we define some of the challenges around the application and disclosure
of machine learning for healthcare within TREs. We describe various
vulnerabilities the introduction of AI brings to TREs. We also provide an
introduction to the different types and levels of risks associated with the
disclosure of trained ML models. We finally describe the new research
opportunities in developing and adapting policies and tools for safely
disclosing machine learning outputs from TREs.

26
The categories of this paper are: bayes-an
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
29
The categories of this paper are: funct-an
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys