Publications

Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization
- - Pengchao Han
  - Shiqiang Wang
  - et al.
- 2024
- INFOCOM 2024
Conference paper
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
Conference paper
LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
- - Saad Ullah
  - Mingji Han
  - et al.
- 2024
- S&P 2024
Conference paper
Asterisk: Super-fast MPC with a Friend
- - Banashri Karmakar
  - Nishat Koti
  - et al.
- 2024
- S&P 2024
Conference paper
SyzGen++: Dependency Inference for Augmenting Kernel Driver Fuzzing
- - Weiteng Chen
  - Yu Hao
  - et al.
- 2024
- S&P 2024
Conference paper
Understanding and Bridging the Gap Between Unsupervised Network Representation Learning and Security Analytics
- - Jiacen Xu
  - Xiaokui Shu
  - et al.
- 2024
- S&P 2024
Conference paper
Topological Data Analysis on Noisy Quantum Computers
- - Ismail Akhalwaya
  - Shashanka Ubaru
  - et al.
- 2024
- ICLR 2024
Conference paper
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
- - Shiqiang Wang
  - Mingyue Ji
- 2024
- ICLR 2024
Conference paper
Uncertainty Quantification via Stable Distribution Propagation
- - Felix Petersen
  - Aashwin Mishra
  - et al.
- 2024
- ICLR 2024
Conference paper
On the generalization capacity of neural networks during generic multimodal reasoning
- - Taku Ito
  - Soham Dan
  - et al.
- 2024
- ICLR 2024
Conference paper