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Inferring Sensitive Attributes from Model Explanations


Aug 21, 2022
Vasisht Duddu, Antoine Boutet

* ACM CIKM 2022 

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Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks


Feb 04, 2022
Jan Aalmoes, Vasisht Duddu, Antoine Boutet


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SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning


Dec 04, 2021
Vasisht Duddu, Sebastian Szyller, N. Asokan


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Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks


Apr 26, 2021
Sebastian Szyller, Vasisht Duddu, Tommi Gröndahl, N. Asokan

* 9 pages, 7 figures 

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GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning


Oct 02, 2020
Vasisht Duddu, Antoine Boutet, Virat Shejwalkar


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Quantifying (Hyper) Parameter Leakage in Machine Learning


Oct 31, 2019
Vasisht Duddu, D. Vijay Rao


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Fault Tolerance of Neural Networks in Adversarial Settings


Oct 30, 2019
Vasisht Duddu, N. Rajesh Pillai, D. Vijay Rao, Valentina E. Balas


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Adversarial Fault Tolerant Training for Deep Neural Networks


Jul 09, 2019
Vasisht Duddu, D. Vijay Rao, Valentina E. Balas


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Stealing Neural Networks via Timing Side Channels


Dec 31, 2018
Vasisht Duddu, Debasis Samanta, D Vijay Rao, Valentina E. Balas


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