1

Relating Distances and Abstractions: An Abstract Interpretation Perspective

Introducing Pyra: A High Level Linter for Data Science

Quantitative Static Timing Analysis

An Abstract Interpretation-Based Data Leakage Static Analysis

Automatic Detection of Vulnerable Variables for CTL Properties of Programs

Quantitative Input Usage Static Analysis

Monotonicity and the Precision of Program Analysis

Abstract Interpretation-Based Feature Importance for Support Vector Machines

A Formal Framework to Measure the Incompleteness of Abstract Interpretations

Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations