13 citations · 27 across the 5 of their papers we have counts for
5 papers
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency
Sohaib Kiani, Sana Awan, Chao Lan +2
In the evasion attacks against deep neural networks (DNN), the attacker generates adversarial instances that are visually indistinguishable from benign samples and sends them to th…
A Distributed Fair Machine Learning Framework with Private Demographic Data Protection
Hui Hu, Yijun Liu, Zhen Wang +1
Fair machine learning has become a significant research topic with broad societal impact. However, most fair learning methods require direct access to personal demographic data, wh…
Discriminatory Transfer
Chao Lan, Jun Huan
We observe standard transfer learning can improve prediction accuracies of target tasks at the cost of lowering their prediction fairness -- a phenomenon we named discriminatory tr…
On the Unreported-Profile-is-Negative Assumption for Predictive Cheminformatics
Chao Lan, Sai Nivedita Chandrasekaran, Jun Huan
In cheminformatics, compound-target binding profiles has been a main source of data for research. For data repositories that only provide positive profiles, a popular assumption is…
Learning Social Circles in Ego Networks based on Multi-View Social Graphs
Chao Lan, Yuhao Yang, Xiaoli Li +2
In social network analysis, automatic social circle detection in ego-networks is becoming a fundamental and important task, with many potential applications such as user privacy pr…