Publications

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
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
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
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization
- - Pengchao Han
  - Shiqiang Wang
  - et al.
- 2024
- INFOCOM 2024
Conference paper
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
- - Marcus Min
  - Robin (Yangruibo) Ding
  - et al.
- 2024
- ICLR 2024
Conference paper
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
- - Ming Jin
  - Shiyu Wang
  - et al.
- 2024
- ICLR 2024
Conference paper
Curiosity-driven Red-teaming for Large Language Models
- - Zhang-wei Hong
  - Idan Shenfeld
  - et al.
- 2024
- ICLR 2024
Conference paper
Topological Data Analysis on Noisy Quantum Computers
- - Ismail Akhalwaya
  - Shashanka Ubaru
  - et al.
- 2024
- ICLR 2024
Conference paper
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
Conference paper