CoqQ is a framework for reasoning about quantum programs in the Coq proo...
We study the nature of applicative bisimilarity in λ-calculi endowed
wit...
Adversarial computations are a widely studied class of computations wher...
Spectre vulnerabilities violate our fundamental assumptions about
archit...
We propose a model of the substructural logic of Bunched Implications (B...
During the ongoing COVID-19 pandemic, there have been burgeoning efforts...
Differential privacy is a mathematical framework for developing statisti...
Counterfactual explanations (CFE) are being widely used to explain
algor...
Machine learning is increasingly used to inform decision-making in sensi...
Logical relations are one of the most powerful techniques in the theory ...
Differential privacy is a de facto standard for statistical computations...
The constant-time discipline is a software-based countermeasure used for...
Probabilistic independence is a fundamental tool for reasoning about
ran...
We present a logical framework for the verification of relational proper...
A fundamental result in differential privacy states that the privacy
gua...
Predictive models are being increasingly used to support consequential
d...
Differential privacy is the gold standard in data privacy, with applicat...
We develop a new approach for building cryptographic implementations. Ou...
The Kantorovich metric is a canonical lifting of a distance from sets to...
Relational verification of quantum programs has many potential applicati...
Relational type systems have been designed for several applications incl...
Probabilistic programming provides a convenient lingua franca for writin...
Differential privacy comes equipped with multiple analytical tools for t...
This paper provides an informal discussion of the formal aspects of soft...
Research on deductive verification of probabilistic programs has conside...
We extend the simply-typed guarded λ-calculus with discrete
probabilitie...
We define Almost Sure Productivity (ASP), a probabilistic generalization...
We develop a semantics framework for verifying recent relaxations of
dif...
Program sensitivity, also known as Lipschitz continuity, describes how s...
When analyzing probabilistic computations, a powerful approach is to fir...