What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- Irene Ko
- Pin-Yu Chen
- et al.
- 2024
- ICML 2024
Publications
Date
Featured collections
Popular topics
758 results for Trustworthy AI
Trust Regions for Explanations via Black-Box Probabilistic Certification
- Amit Dhurandhar
- Swagatam Haldar
- et al.
- 2024
- ICML 2024
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
- Zhi-yi Chin
- Chieh-ming Jiang
- et al.
- 2024
- ICML 2024
Thermometer: Towards Universal Calibration for Large Language Models
- Maohao Shen
- Subhro Das
- et al.
- 2024
- ICML 2024
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
Slicing Mutual Information Generalization Bounds for Neural Networks
- Kimia Nadjahi
- Kristjan Greenewald
- et al.
- 2024
- ICML 2024
Larimar: Large Language Models with Episodic Memory Control
- 2024
- ICML 2024
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs
- Swanand Ravindra Kadhe
- Farhan Ahmed
- et al.
- 2024
- ICML 2024
CharED: Character-wise Ensemble Decoding for Large Language Models
- Kevin Gu
- Eva Tuecke
- et al.
- 2024
- ICML 2024
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation
- Tomas Bueno Momcilovic
- Beat Buesser
- et al.
- 2024
- xAI 2024