17 citations · 49 across the 11 of their papers we have counts for
23 papers
Bayesian Network Models of Causal Interventions in Healthcare Decision Making: Literature Review and Software Evaluation
Artem Velikzhanin, Benjie Wang, Marta Kwiatkowska
This report summarises the outcomes of a systematic literature search to identify Bayesian network models used to support decision making in healthcare. After describing the search…
Robustness of Unsupervised Representation Learning without Labels
Aleksandar Petrov, Marta Kwiatkowska
Unsupervised representation learning leverages large unlabeled datasets and is competitive with supervised learning. But non-robust encoders may affect downstream task robustness.…
Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks
Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska +1
A fundamental problem in adversarial machine learning is to quantify how much training data is needed in the presence of evasion attacks. In this paper we address this issue within…
Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits
Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska
In many domains, worst-case guarantees on the performance (e.g., prediction accuracy) of a decision function subject to distributional shifts and uncertainty about the environment…
The King is Naked: on the Notion of Robustness for Natural Language Processing
Emanuele La Malfa, Marta Kwiatkowska
There is growing evidence that the classical notion of adversarial robustness originally introduced for images has been adopted as a de facto standard by a large part of the NLP re…
Certification of Iterative Predictions in Bayesian Neural Networks
Matthew Wicker, Luca Laurenti, Andrea Patane +3
We consider the problem of computing reach-avoid probabilities for iterative predictions made with Bayesian neural network (BNN) models. Specifically, we leverage bound propagation…