The fair division literature in economics considers how to divide resour...
Effectful programs interact in ways that go beyond simple input-output,
...
We propose a symbolic execution method for programs that can draw random...
Modern programmable network switches can implement custom applications u...
Formal reasoning about hashing-based probabilistic data structures often...
Morgan and McIver's weakest pre-expectation framework is one of the most...
We propose a model of the substructural logic of Bunched Implications (B...
Differential privacy is a formal, mathematical definition of data privac...
Independence and conditional independence are fundamental concepts for
r...
Recent advances in machine learning (ML) algorithms, especially deep neu...
Federated learning (FL) is a machine learning setting where many clients...
Probabilistic independence is a fundamental tool for reasoning about
ran...
Guarded Kleene Algebra with Tests (GKAT) is a variation on Kleene Algebr...
Differential privacy is the gold standard in data privacy, with applicat...
This paper presents McNetKAT, a scalable tool for verifying probabilisti...
Data poisoning attacks aim to manipulate the model produced by a learnin...
The Kantorovich metric is a canonical lifting of a distance from sets to...
Relational verification of quantum programs has many potential applicati...
News plays a significant role in shaping people's beliefs and opinions. ...
We propose trace abstraction modulo probability, a proof technique for
v...
Probabilistic programming provides a convenient lingua franca for writin...
The Fuzz programming language [Reed and Pierce, 2010] uses an elegant li...
The Fuzz programming language [Reed and Pierce, 2010] uses an elegant li...
We explore language semantics for automata combining probabilistic and
n...
Proof by coupling is a classical technique for proving properties about ...
Research on deductive verification of probabilistic programs has conside...
We define Almost Sure Productivity (ASP), a probabilistic generalization...
This thesis explores proofs by coupling from the perspective of formal
v...
We develop a semantics framework for verifying recent relaxations of
dif...
Differential privacy has emerged as a promising probabilistic formulatio...
Program sensitivity, also known as Lipschitz continuity, describes how s...
When analyzing probabilistic computations, a powerful approach is to fir...