output
20082026
most citedProving Differential Privacy via Probabilistic Couplings

98 citations

143 papers

cs.LO2026

An Approach to the Abstract Interpretation of Goal-Directed Answer Set Programming

Daniel Jurjo-Rivas, Joaquín Arias, Gopal Gupta +3

Abstract Interpretation infers and verifies program properties by over-approximating program semantics. It has been highly successful for (Constraint) Logic Programming, enabling t…

cs.PL2026

Towards Relating Ciao Assertions and LPTP Theorems

Marco Pérez, Pedro López-García, Jose F. Morales +2

Abstract interpretation-based verification is a central component of the Ciao Prolog system, enabling expressive specifications of properties of programs, predicates, and execution…

cs.LO2026

Basic Model Theory for Path Predicate Modal Logic

Raul Fervari, Santiago Figueira, Gabriel Goren-Roig +1

Path Predicate Modal Logic (PPML) is a generalization of Basic Modal Logic, where atoms are relational predicates instead of propositional symbols. The study of PPML is motivated a…

q-bio.PE2025

A mathematical model of vaccine hesitancy: Analysing the impact of political trends and the interaction across age and education groups in the USA

Wajid Ali, Javad Mohamadichamgavi, Juan Ramirez +3

Vaccination against the SARS-CoV-2 disease has significantly reduced its mortality rate and spread. However, despite its availability, a considerable proportion of the public has e…

cs.PL2025

Hiord#: An Approach to the Specification and Verification of Higher-Order (C)LP Programs

Marco Ciccalè, Daniel Jurjo-Rivas, Jose F. Morales +2

Higher-order constructs enable more expressive and concise code by allowing procedures to be parameterized by other procedures. Assertions allow expressing partial program specific…

cs.AI2025★ 3 cited

Monitoring Robustness and Individual Fairness

Ashutosh Gupta, Thomas A. Henzinger, Konstantin Kueffner +2

Input-output robustness appears in various different forms in the literature, such as robustness of AI models to adversarial or semantic perturbations and individual fairness of AI…