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11/12/2022
Generating Textual Adversaries with Minimal Perturbation
Many word-level adversarial attack approaches for textual data have been...
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10/09/2022
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations
Anomaly detection in sequential data has been studied for a long time be...
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10/10/2020
Fairness-aware Agnostic Federated Learning
Federated learning is an emerging framework that builds centralized mach...
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03/08/2020
Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy
When we enforce differential privacy in machine learning, the utility-pr...
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11/11/2019
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning
Preserving differential privacy has been well studied under centralized ...
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05/28/2018