Interpretable Differencing of Machine Learning Models
- Swagatam Haldar
- Diptikalyan Saha
- et al.
- 2023
- UAI 2023
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698 results for Trustworthy AI
Pessimistic Model Selection for Deep Reinforcement Learning
- Chao-Han Huck Yang
- Zhengling Qi
- et al.
- 2023
- UAI 2023
Code Vulnerability Detection via Signal-Aware Learning
- Sahil Suneja
- Yufan Zhuang
- et al.
- 2023
- EuroS&P 2023
DetAIL: A Tool to Automatically Detect and Analyze Drift In Language
- Nishtha Madaan
- Adithya Manjunatha
- et al.
- 2023
- IAAI 2023
Generating One-Hot Maps under Encryption
- Ehud Aharoni
- Nir Drucker
- et al.
- 2023
- CSCML 2023
How to Backdoor Diffusion Models?
- Sheng-yen Cho
- Pin-Yu Chen
- et al.
- 2023
- CVPR 2023
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
- Lei Hsiung
- Yun-Yun Tsai
- et al.
- 2023
- CVPR 2023
Trustworthy AI and the Logics of Intersectional Resistance
- Bran Knowles
- Jasmine Fledderjohann
- et al.
- 2023
- FAccT 2023
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation
- Neel Bhandari
- Pin-Yu Chen
- 2023
- ICASSP 2023
TOPO-MLP : A Simplicial Network without Message Passing
- Karthikeyan Natesan Ramamurthy
- Aldo Guzmán-Sáenz
- et al.
- 2023
- ICASSP 2023