Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
- Yu-Lin Tsai
- Chia-yi Hsu
- et al.
- 2024
- ICLR 2024
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The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
- Yan Liu
- Yu Liu
- et al.
- 2024
- ICLR 2024
Uncertainty Quantification via Stable Distribution Propagation
- Felix Petersen
- Aashwin Mishra
- et al.
- 2024
- ICLR 2024
An Investigation of Representation and Allocation Harms in Contrastive Learning
- Subha Maity
- Mayank Agarwal
- et al.
- 2024
- ICLR 2024
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
- Ming-yu Chung
- Sheng-yen Chou
- et al.
- 2024
- ICLR 2024
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
- Xiangyu Qi
- Yi Zeng
- et al.
- 2024
- ICLR 2024
Curiosity-driven Red-teaming for Large Language Models
- Zhang-wei Hong
- Idan Shenfeld
- et al.
- 2024
- ICLR 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- Shengwei An
- Sheng-yen Chou
- et al.
- 2024
- AAAI 2024
Fairness-Aware Structured Pruning in Transformers
- Abdelrahman Zayed
- Gonçalo Mordido
- et al.
- 2024
- AAAI 2024
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
- Naiyu Yin
- Tian Gao
- et al.
- 2024
- AAAI 2024