Effect of dataset partitioning strategies for evaluating out-of-distribution generalisation for predictive models in biochemistry
- 2024
- ACS Fall 2024
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698 results for Trustworthy AI
Post-processing Private Synthetic Data for Improving Utility on Selected Measures
- 2023
- NeurIPS 2023
Rectification Learning From Hypotheses Refutation and Relevance Classification
- Victor Kravets
- Jie-hong R. Jiang
- et al.
- 2023
- DAC 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Decision Tree Models
- Abdullah Caglar Oksuz
- Anisa Halimi
- et al.
- 2023
- NDSS 2023
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
- Maohao Shen
- Yuheng Bu
- et al.
- 2023
- AAAI 2023
k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension
- Ziv Goldfeld
- Kristjan Greenewald
- et al.
- 2022
- NeurIPS 2022
Testing Framework for Black-box AI Models
- Aniya Aggarwal
- Samiulla Shaikh
- et al.
- 2021
- ICSE 2021
IBM Federated Learning Community Edition: An Interactive Demonstration
- Laura Wynter
- 2020
- NeurIPS 2020
xLP: Explainable Link Prediction Demo
- Balaji Ganesan
- Srinivas Parkala
- et al.
- 2020
- NeurIPS 2020
LLMGuard: Guarding Against Unsafe LLM Behavior
- Shubh Goyal
- Medha Hira
- et al.
- 2024
- AAAI 2024