168 citations · 703 across the 45 of their papers we have counts for
3 papers · 2 filters
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods
Dylan Slack, Sophie Hilgard, Emily Jia +2
As machine learning black boxes are increasingly being deployed in domains such as healthcare and criminal justice, there is growing emphasis on building tools and techniques for e…
Compositional Generalization with Tree Stack Memory Units
Forough Arabshahi, Zhichu Lu, Pranay Mundra +2
We study compositional generalization, viz., the problem of zero-shot generalization to novel compositions of concepts in a domain. Standard neural networks fail to a large extent…
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications
Pouya Pezeshkpour, Yifan Tian, Sameer Singh
Representing entities and relations in an embedding space is a well-studied approach for machine learning on relational data. Existing approaches, however, primarily focus on impro…