3 papers
cs.CR2026
TrEEStealer: Stealing Decision Trees via Enclave Side Channels
Jonas Sander, Anja Rabich, Nick Mahling +5
Today, machine learning is widely applied in sensitive, security-related, and financially lucrative applications. Model extraction attacks undermine current business models where a…
cs.CR2026
Confidential Computing on Heterogeneous CPU-GPU Systems: Survey and Future Directions
Qifan Wang, David Oswald
In recent years, the widespread informatization and rapid data explosion have increased the demand for high-performance heterogeneous systems that integrate multiple computing core…
cs.CR2025
BarkBeetle: Stealing Decision Tree Models with Fault Injection
Qifan Wang, Jonas Sander, Minmin Jiang +2
Machine learning models, particularly decision trees (DTs), are widely adopted across various domains due to their interpretability and efficiency. However, as ML models become inc…