Projects

We introduce Bitween, a linear regression-based automated learning algorithm that effectively discovers complex nonlinear randomized (self)-reductions and other arbitrary program invariants (e.g., loop invariants and post conditions) in mixed integer and floating-point programs.

This work shows the first exploration and study of power-based side-channel attacks in quantum computers. The explored attacks could be used to recover information about the control pulses sent to these computers. By analyzing these control pulses, attackers can reverse-engineer the equivalent gate-level description of the circuits, and the algorithms being run, or data hard-coded into the circuits.

An example of linking directly to an external project website using external_link.