LARGE LANGUAGE MODELS CAN BECOME STRONG SELF-DETOXIFIERS
- Ching-Yun Ko
- Pin-Yu Chen
- et al.
- 2025
- ICLR 2025
Conference paper
Publications
16 results for Luca Daniel
Dilated Convolution for Time Series Learning
- Wang Zhang
- Subhro Das
- et al.
- 2025
- ICASSP 2025
Conference paperOne Step Closer to Unbiased Aleatoric Uncertainty Estimation
- Wang Zhang
- Ziwen Martin Ma
- et al.
- 2024
- AAAI 2024
Conference paperConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
- Wang Zhang
- Tsui-Wei Weng
- et al.
- 2023
- ICML 2023
Conference paperRevisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
- Ching-Yun Ko
- Jeet Mohapatra
- et al.
- 2022
- ICML 2022
Conference paperFast Training of Provably Robust Neural Networks by SingleProp
- Akhilan Boopathy
- Tsui-Wei Weng
- et al.
- 2021
- AAAI 2021
Conference paperHigher-Order Certification For Randomized Smoothing
- Jeet Mohapatra; Ching-Yun Ko
- Tsui-Wei Weng
- et al.
- 2020
- NeurIPS 2020
Conference paperCertified Interpretability Robustness for Class Activation Mapping
- Alex Gu
- Tsui-Wei Weng
- et al.
- 2020
- NeurIPS 2020
Workshop paperProper network interpretability helps adversarial robustness in classification
- Akhilan Boopathy
- Sijia Liu
- et al.
- 2020
- ICML 2020
Conference paperTowards verifying robustness of neural networks against a family of semantic perturbations
- Jeet Mohapatra
- Tsui Wei Weng
- et al.
- 2020
- CVPR 2020
Conference paper