Blocking microarchitectural (digital) side channels is one of the most pressing challenges in
hardware security today. Recently, there has been a surge of effort that attempts to block …

Secure multi-party computation (MPC) has recently become prominent as a concept to
enable multiple parties to perform privacy-preserving machine learning without leaking …

Probabilistic independence is a useful concept for describing the result of random sampling—
a basic operation in all probabilistic languages—and for reasoning about groups of random …

Software call stack is a sequence of function calls that are executed during the runtime of a
software program. Software call stack analysis (CSA) is widely used in software engineering …

Secure multiparty computation (MPC) allows for joint computation over private data from
multiple entities, usually backed by powerful cryptographic techniques that protect sensitive …

Secure computation allows multiple parties to compute joint functions over private data
without leaking any sensitive data, typically using powerful cryptographic techniques. Writing …

Secure Multi-Party Computation (MPC) is an important enabling technology for data privacy
in modern distributed applications. Currently, proof methods for low-level MPC protocols are …

We consider the problem of how to verify the security of probabilistic oblivious algorithms
formally and systematically. Unfortunately, prior program logics fail to support a number of …

We study a probabilistic variant of binary session types that relate to a class of Finite-State
Markov Chains. The probability annotations in session types enable the reasoning on the …

Many important cryptographic primitives offer probabilistic guarantees of security that can be
specified as quantitative hyperproperties; these are specifications that stipulate the …