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
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Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization
- Pengchao Han
- Shiqiang Wang
- et al.
- 2024
- INFOCOM 2024
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
- Shiqiang Wang
- Mingyue Ji
- 2024
- ICLR 2024
Curiosity-driven Red-teaming for Large Language Models
- Zhang-wei Hong
- Idan Shenfeld
- et al.
- 2024
- ICLR 2024
Towards Automated Regulation Analysis for Effective Privacy Compliance
- 2024
- NDSS 2024
GNNIC: Finding Long-Lost Sibling Functions with Abstract Similarity
- Qiushi Wu
- Zhongshu Gu
- et al.
- 2024
- NDSS 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- Shengwei An
- Sheng-yen Chou
- et al.
- 2024
- AAAI 2024
DePRL: achieving linear convergence speedup in personalized decentralized learning with shared representations
- Guojun Xiong
- Gang Yan
- et al.
- 2024
- AAAI 2024
StableFDG: Style and Attention Based Learning for Federated Domain Generalization
- Jungwuk Park
- Dong-jun Han
- et al.
- 2023
- NeurIPS 2023
A Contributory Public-Event Recording and Querying System
- Arun Joseph
- Nikita Yadav
- et al.
- 2023
- SEC 2023