2 citations · 2 across the 2 of their papers we have counts for
4 papers
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…
Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks
Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia +1
In this paper, we interpret Deep Neural Networks with Complex Network Theory. Complex Network Theory (CNT) represents Deep Neural Networks (DNNs) as directed weighted graphs to stu…
On Guaranteed Optimal Robust Explanations for NLP Models
Emanuele La Malfa, Agnieszka Zbrzezny, Rhiannon Michelmore +2
We build on abduction-based explanations for ma-chine learning and develop a method for computing local explanations for neural network models in natural language processing (NLP).…
Assessing Robustness of Text Classification through Maximal Safe Radius Computation
Emanuele La Malfa, Min Wu, Luca Laurenti +3
Neural network NLP models are vulnerable to small modifications of the input that maintain the original meaning but result in a different prediction. In this paper, we focus on rob…