On Relating Explanations and Adversarial Examples

By Alexey Ignatiev, Nina Narodytska, Joao Marques-Silva. 2019

135 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jinqiang Yu
2. Peter James Stuckey
3. Pierre Le Bodic
4. Neema Kotonya
5. Alexey Ignatiev
6. Francesca Toni
7. Sarah Wiegreffe
8. Emilio Carrizosa

Citations in the corpus

• Computing Optimal Decision Sets with SAT (2020, background): “Hence the rising interest in explainable artificial intelligence (XAI) [4, 14, 16, 18, 22, 23, 26, 29, 30, 36–38, 42, 43, 48, 49, 52], including research programs [3, 24] and legislation [17, 21].”
• Three Modern Roles for Logic in AI (2020, unknown): “, [39, 40, 43, 48, 58, 82, 84].”
• Towards Trustable Explainable AI (2020, methodology): “Recent work [ Shih et al. , 2018; Ignatiev et al. , 2019a ] proposed a principled approach to computing provably correct explanations (at the expected cost of lower scalability), which is fundamentally different from the heuristic methods.”
• Explainable Automated Fact-Checking: A Survey (2020, background): “, 2019b) and theoretical (Ignatiev et al., 2019) stand points.”