Publications

Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization
- - Pengchao Han
  - Shiqiang Wang
  - et al.
- 2024
- INFOCOM 2024
Understanding the Privacy Practices of Political Campaigns: A Perspective from the 2020 US Election Websites
- - Kaushal Kafle
  - Prianka Mandal
  - et al.
- 2024
- S&P 2024
Design Principles for Generative AI Applications
- - Justin Weisz
  - Jessica He
  - et al.
- 2024
- CHI 2024
Bitacora: A Toolkit for Supporting NonProfits to Critically Reflect on Social Media Data Use
- - Adriana Alvarado Garcia
  - Marisol Wong-Villacres
  - et al.
- 2024
- CHI 2024
Topological Data Analysis on Noisy Quantum Computers
- - Ismail Akhalwaya
  - Shashanka Ubaru
  - et al.
- 2024
- ICLR 2024
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
- - Chen Chen
  - Ruizhe Li
  - et al.
- 2024
- ICLR 2024
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
- - Yu-Lin Tsai
  - Chia-yi Hsu
  - et al.
- 2024
- ICLR 2024
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
- - Yan Liu
  - Yu Liu
  - et al.
- 2024
- ICLR 2024
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
- - Shiqiang Wang
  - Mingyue Ji
- 2024
- ICLR 2024
Uncertainty Quantification via Stable Distribution Propagation
- - Felix Petersen
  - Aashwin Mishra
  - et al.
- 2024
- ICLR 2024