Publications

960 results for Trustworthy AI

Model Sparsity Can Simplify Machine Unlearning
- - Jinghan Jia
  - Jiancheng Liu
  - et al.
- 2023
- NeurIPS 2023
Conference paper
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
- - Ilias Diakonikolas
  - Daniel Kane
  - et al.
- 2023
- NeurIPS 2023
Conference paper
RADAR: Robust AI-Text Detection via Adversarial Learning
- - Xiaomeng Hu
  - Pin-Yu Chen
  - et al.
- 2023
- NeurIPS 2023
Conference paper
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
- - Sheng-yen Cho
  - Pin-Yu Chen
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Max-Sliced Mutual Information
- - Dor Tsur
  - Ziv Goldfeld
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Efficient Equivariant Transfer Learning from Pretrained Models
- - Sourya Basu
  - Pulkit Katdare
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Uncovering and Quantifying Social Biases in Code Generation
- - Yan Liu
  - Xiaokang Chen
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
- - Robert Alison
  - Anthony Stephenson
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
- - Ilias Diakonikolas
  - Daniel Kane
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Post-processing Private Synthetic Data for Improving Utility on Selected Measures
- - Hao Wang
  - Shivchander Sudalairaj
  - et al.
- 2023
- NeurIPS 2023
Poster