Search Results for author: Feng Mi

Found 4 papers, 0 papers with code

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness

no code implementations19 Feb 2024 Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen

Theoretical analysis yields sub-linear upper bounds for both loss regret and the cumulative violation of fairness constraints.

Fairness Meta-Learning

Towards Fair Disentangled Online Learning for Changing Environments

no code implementations31 May 2023 Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen

To this end, in this paper, we propose a novel algorithm under the assumption that data collected at each time can be disentangled with two representations, an environment-invariant semantic factor and an environment-specific variation factor.


An Automated Vulnerability Detection Framework for Smart Contracts

no code implementations20 Jan 2023 Feng Mi, Chen Zhao, Zhuoyi Wang, Sadaf MD Halim, Xiaodi Li, Zhouxiang Wu, Latifur Khan, Bhavani Thuraisingham

With the increase of the adoption of blockchain technology in providing decentralized solutions to various problems, smart contracts have become more popular to the point that billions of US Dollars are currently exchanged every day through such technology.

Metric Learning Vulnerability Detection

Adaptive Fairness-Aware Online Meta-Learning for Changing Environments

no code implementations20 May 2022 Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen

Furthermore, to determine a good model parameter at each round, we propose a novel adaptive fairness-aware online meta-learning algorithm, namely FairSAOML, which is able to adapt to changing environments in both bias control and model precision.

Fairness Meta-Learning

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