Risk Aware Benchmarking of Large Language Models
- Apoorva Nitsure
- Youssef Mroueh
- et al.
- 2024
- ICML 2024
Conference paper
Publications
935 results for Trustworthy AI
Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning
- Zhiyuan He
- Yijun Yang
- et al.
- 2024
- ICML 2024
Conference paperWhat Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- Irene Ko
- Pin-Yu Chen
- et al.
- 2024
- ICML 2024
Conference paperPrompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
- Zhi-yi Chin
- Chieh-ming Jiang
- et al.
- 2024
- ICML 2024
Conference paperTrust Regions for Explanations via Black-Box Probabilistic Certification
- Amit Dhurandhar
- Swagatam Haldar
- et al.
- 2024
- ICML 2024
Conference paperThermometer: Towards Universal Calibration for Large Language Models
- Maohao Shen
- Subhro Das
- et al.
- 2024
- ICML 2024
Conference paperCharED: Character-wise Ensemble Decoding for Large Language Models
- Kevin Gu
- Eva Tuecke
- et al.
- 2024
- ICML 2024
Workshop paperSplit, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs
- Swanand Ravindra Kadhe
- Farhan Ahmed
- et al.
- 2024
- ICML 2024
Workshop paperTowards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation
- Tomas Bueno Momcilovic
- Beat Buesser
- et al.
- 2024
- xAI 2024
Workshop paperIdentifying Homogeneous and Interpretable Groups for Conformal Prediction
- Natalia Martinez Gil
- Dhaval Patel
- et al.
- 2024
- UAI 2024
Conference paper