Search Results for author: Bradley Malin

Found 9 papers, 2 papers with code

Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing

no code implementations22 Jan 2018 Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, Bradley Malin

For enhancing the privacy protections of databases, where the increasing amount of detailed personal data is stored and processed, multiple mechanisms have been developed, such as audit logging and alert triggers, which notify administrators about suspicious activities; however, the two main limitations in common are: 1) the volume of such alerts is often substantially greater than the capabilities of resource-constrained organizations, and 2) strategic attackers may disguise their actions or carefully choosing which records they touch, making incompetent the statistical detection models.

GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment

no code implementations17 Oct 2020 Aref Asvadishirehjini, Murat Kantarcioglu, Bradley Malin

Machine learning models based on Deep Neural Networks (DNNs) are increasingly deployed in a wide range of applications ranging from self-driving cars to COVID-19 treatment discovery.

Self-Driving Cars

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders

no code implementations18 Dec 2020 Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley Malin, Walter Stewart, Jimeng Sun

De-identified EHRs do not adequately address the needs of health systems, as de-identified data are susceptible to re-identification and its volume is also limited.

Variational Inference

Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database

no code implementations6 Jul 2022 Steve Nyemba, Chao Yan, Ziqi Zhang, Amol Rajmane, Pablo Meyer, Prithwish Chakraborty, Bradley Malin

We further show that the transfer learning approach based on the BAN produces models that are better than those trained on just a single institution's data.

Readmission Prediction Transfer Learning

DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models

1 code implementation4 Jan 2024 Wendi Cui, Jiaxin Zhang, Zhuohang Li, Lopez Damien, Kamalika Das, Bradley Malin, Sricharan Kumar

Evaluating the quality and variability of text generated by Large Language Models (LLMs) poses a significant, yet unresolved research challenge.

Hallucination Sentence

PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models

no code implementations17 Feb 2024 Wendi Cui, Jiaxin Zhang, Zhuohang Li, Hao Sun, Damien Lopez, Kamalika Das, Bradley Malin, Sricharan Kumar

Crafting an ideal prompt for Large Language Models (LLMs) is a challenging task that demands significant resources and expert human input.

Computational Efficiency In-Context Learning

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