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‘Somewhere Randomness Extraction and Security Against Bounded-Storage Mass Surveillance’

NGN Research
by Noah Lloyd

‘Understanding Dark Patterns in Home IoT Devices’

NGN Research
by Noah Lloyd

‘Optimal Intervention on Weighted Networks via Edge Centrality’

NGN Research
by Noah Lloyd

‘Identification of Negative Transfers in Multitask Learning Using Surrogate Models’

NGN Research
by Noah Lloyd

‘Noise Stability Optimization for Flat Minima With Optimal Convergence Rates’

NGN Research
by Noah Lloyd

‘Is “Categorical Imperative” Metaversal?: A Kantian Ethical Framework for Social Virtual Reality’

NGN Research
by Noah Lloyd

‘Exploratory Thematic Analysis of Crowdsourced Photosensitivity Warnings’

NGN Research
by Noah Lloyd

‘Differentially Private Medians and Interior Points for Non-Pathological Data’

NGN Research
by Noah Lloyd

‘TMI! Finetuned Models Leak Private Information from their Pretraining Data’

NGN Research
by Noah Lloyd

‘How to Combine Membership-Inference Attacks on Multiple Updated Machine Learning Models’

NGN Research
by Noah Lloyd

‘Why, When and From Whom: Considerations for Collecting and Reporting Race and Ethnicity Data in HCI’

NGN Research
by Noah Lloyd

‘”Who is the Right Homeless Client?”: Values in Algorithmic Homelessness Service Provision and Machine Learning Research’

NGN Research
by Noah Lloyd