AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
- Giridhar Ganapavarapu
- Sumanta Mukherjee
- et al.
- 2023
- KDD 2023
Publications
910 results for Trustworthy AI
Adversarial Auditing of Machine Learning Models under Compound Shift
- Karan Bhanot
- Dennis Wei
- et al.
- 2023
- ESANN 2023
Incorporating Signal Awareness in Source Code Modeling: An Application to Vulnerability Detection
- Sahil Suneja
- Yufan Zhuang
- et al.
- 2023
- ACM TOSEM
Re-evaluating the Privacy Benefit of Federated Learning
- Mohamed Suliman
- Douglas Leith
- et al.
- 2023
- ECML PKDD 2023
A historical perspective of biomedical explainable AI research
- Luca Malinverno
- Vesna Barros
- et al.
- 2023
- Patterns
IberianVoxel: Automatic Completion of Iberian Ceramics for Cultural Heritage Studies
- Pablo Navarro
- Celia Cintas
- et al.
- 2023
- IJCAI 2023
Balancing Social Impact, Opportunities, and Ethical Constraints of Using AI in the Documentation and Vitalization of Indigenous Languages
- Claudio S. Pinhanez
- Paulo Cavalin
- et al.
- 2023
- IJCAI 2023
Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks
- Hannah Kim
- Celia Cintas
- et al.
- 2023
- IJCAI 2023
TRAD: Task-agnostic Representation of the Activation Space in Deep Neural Networks
- 2023
- IJCAI 2023
Explainable Neuro-Symbolic Reinforcement Learning
- 2023
- IJCAI 2023