35 citations · 154 across the 16 of their papers we have counts for
16 papers
Ambush from All Sides: Understanding Security Threats in Open-Source Software CI/CD Pipelines
Ziyue Pan, Wenbo Shen, Xingkai Wang +6
The continuous integration and continuous deployment (CI/CD) pipelines are widely adopted on Internet hosting platforms, such as GitHub. With the popularity, the CI/CD pipeline fac…
FAIRER: Fairness as Decision Rationale Alignment
Tianlin Li, Qing Guo, Aishan Liu +3
Deep neural networks (DNNs) have made significant progress, but often suffer from fairness issues, as deep models typically show distinct accuracy differences among certain subgrou…
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
Zeyu Tang, Yatong Chen, Yang Liu +1
The pursuit of long-term fairness involves the interplay between decision-making and the underlying data generating process. In this paper, through causal modeling with a directed…
Revealing Unobservables by Deep Learning: Generative Element Extraction Networks (GEEN)
Yingyao Hu, Yang Liu, Jiaxiong Yao
Latent variable models are crucial in scientific research, where a key variable, such as effort, ability, and belief, is unobserved in the sample but needs to be identified. This p…
Understanding Instance-Level Impact of Fairness Constraints
Jialu Wang, Xin Eric Wang, Yang Liu
A variety of fairness constraints have been proposed in the literature to mitigate group-level statistical bias. Their impacts have been largely evaluated for different groups of p…
Metric-Fair Classifier Derandomization
Jimmy Wu, Yatong Chen, Yang Liu
We study the problem of classifier derandomization in machine learning: given a stochastic binary classifier , sample a deterministic classifier $\hat{f}: X \to \{0…