no code implementations • RepL4NLP (ACL) 2022 • Edoardo Mosca, Lukas Huber, Marc Alexander Kühn, Georg Groh
State-of-the-art machine learning models are prone to adversarial attacks”:" Maliciously crafted inputs to fool the model into making a wrong prediction, often with high confidence.
1 code implementation • 12 Apr 2023 • Marc Alexander Kühn, Daniel Omeiza, Lars Kunze
In this work, a state-of-the-art (SOTA) prediction and explanation model is thoroughly evaluated and validated (as a benchmark) on the new Sense--Assess--eXplain (SAX).