Publications

954 results for Trustworthy AI

Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
- - Yu-Lin Tsai
  - Chia-yi Hsu
  - et al.
- 2024
- ICLR 2024
Conference paper
SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- - Chongyu Fan
  - Jiancheng Liu
  - et al.
- 2024
- ICLR 2024
Conference paper
An Investigation of Representation and Allocation Harms in Contrastive Learning
- - Subha Maity
  - Mayank Agarwal
  - et al.
- 2024
- ICLR 2024
Conference paper
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
- - Ming-yu Chung
  - Sheng-yen Chou
  - et al.
- 2024
- ICLR 2024
Conference paper
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
- - Xiangyu Qi
  - Yi Zeng
  - et al.
- 2024
- ICLR 2024
Conference paper
Uncertainty Quantification via Stable Distribution Propagation
- - Felix Petersen
  - Aashwin Mishra
  - et al.
- 2024
- ICLR 2024
Conference paper
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
- - Yan Liu
  - Yu Liu
  - et al.
- 2024
- ICLR 2024
Conference paper
Unraveling the Key Components of OOD Generalization via Diversification
- - Harold Benoit
  - Liangze Jiang
  - et al.
- 2024
- ICLR 2024
Conference paper
Aligners: Decoupling LLMs and Alignment
- - Lilian Ngweta
  - Mayank Agarwal
  - et al.
- 2024
- ICLR 2024
Short paper
Data Forging Is Harder Than You Think
- - Mohamed Suliman
  - Swanand Ravindra Kadhe
  - et al.
- 2024
- ICLR 2024
Workshop paper