6 citations · 27 across the 25 of their papers we have counts for
3 papers · 1 filter
Can adversarial attacks by large language models be attributed?
Manuel Cebrian, Andres Abeliuk, Jan Arne Telle
Attributing outputs from Large Language Models (LLMs) in adversarial settings-such as cyberattacks and disinformation campaigns-presents significant challenges that are likely to g…
On a Combinatorial Problem Arising in Machine Teaching
Brigt Håvardstun, Jan Kratochvíl, Joakim Sunde +1
We study a model of machine teaching where the teacher mapping is constructed from a size function on both concepts and examples. The main question in machine teaching is the minim…
When Redundancy Matters: Machine Teaching of Representations
Cèsar Ferri, Dario Garigliotti, Brigt Arve Toppe Håvardstun +2
In traditional machine teaching, a teacher wants to teach a concept to a learner, by means of a finite set of examples, the witness set. But concepts can have many equivalent repre…