With the rapid advancement of artificial intelligence technology, the usage of machine
learning models is gradually becoming part of our daily lives. High-quality models rely not …

A zero-knowledge proof of training (zkPoT) enables a party to prove that they have correctly
trained a committed model based on a committed dataset without revealing any additional …

Machine learning (ML) is increasingly used behind closed systems and APIs to make
important decisions. For example, social media uses ML-based recommendation algorithms …

How can a model owner prove they trained their model according to the correct
specification? More importantly, how can they do so while preserving the privacy of the …

Abstract Machine Learning as a Service can provide outsourced deep learning model
prediction services to clients that do not have computing resources. Meanwhile, the integrity …

Machine learning has become increasingly prominent and is widely used in various
applications in practice. Despite its great success, the integrity of machine learning …

The recent advancements in deep learning have brought about significant changes in
various aspects of people's lives. Meanwhile, these rapid developments have raised …

As ML models have increased in capabilities and accuracy, so has the complexity of their
deployments. Increasingly, ML model consumers are turning to service providers to serve …

In S&P 21, Jia et al. proposed a new concept/mechanism named proof-of-learning (PoL),
which allows a prover to demonstrate ownership of a machine learning model by proving …

Machine Learning as a service (MLaaS) permits resource-limited clients to access powerful
data analytics services ubiquitously. Despite its merits, MLaaS poses significant concerns …