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
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SyzGen++: Dependency Inference for Augmenting Kernel Driver Fuzzing
- Weiteng Chen
- Yu Hao
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- 2024
- S&P 2024
LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
- Saad Ullah
- Mingji Han
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- 2024
- S&P 2024
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization
- Pengchao Han
- Shiqiang Wang
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- 2024
- INFOCOM 2024
Topological Data Analysis on Noisy Quantum Computers
- Ismail Akhalwaya
- Shashanka Ubaru
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- 2024
- ICLR 2024
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
- Chen Chen
- Ruizhe Li
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- 2024
- ICLR 2024
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
- Yu-Lin Tsai
- Chia-yi Hsu
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- 2024
- ICLR 2024
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
- Yan Liu
- Yu Liu
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- 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