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10/04/2022
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
Clustering algorithms are widely used in many societal resource allocati...
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10/04/2022
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses
Clustering models constitute a class of unsupervised machine learning me...
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03/20/2022
YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations
Recommendations algorithms of social media platforms are often criticize...
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10/22/2021
Fairness Degrading Adversarial Attacks Against Clustering Algorithms
Clustering algorithms are ubiquitous in modern data science pipelines, a...
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06/01/2021
Fair Clustering Using Antidote Data
Clustering algorithms are widely utilized for many modern data science a...
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05/07/2020
Fair Algorithms for Hierarchical Agglomerative Clustering
Hierarchical Agglomerative Clustering (HAC) algorithms are extensively u...
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11/16/2019
Suspicion-Free Adversarial Attacks on Clustering Algorithms
Clustering algorithms are used in a large number of applications and pla...
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01/28/2019
Strong Black-box Adversarial Attacks on Unsupervised Machine Learning Models
Machine Learning (ML) and Deep Learning (DL) models have achieved state-...
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10/29/2018
An approach to predictively securing critical cloud infrastructures through probabilistic modeling
Cloud infrastructures are being increasingly utilized in critical infras...
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08/02/2018