2 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.CR2025
ReDASH: Fast and efficient Scaling in Arithmetic Garbled Circuits for Secure Outsourced Inference
Felix Maurer, Jonas Sander, Thomas Eisenbarth
ReDash extends Dash's arithmetic garbled circuits to provide a more flexible and efficient framework for secure outsourced inference. By introducing a novel garbled scaling gadget…