High Quality Risk Description

High-quality risk description focuses on accurately quantifying and mitigating risks across diverse domains, from financial portfolios and healthcare to AI systems and cybersecurity. Current research emphasizes the development and application of machine learning models, including ensemble methods, deep learning architectures (like convolutional neural networks and variational autoencoders), and reinforcement learning algorithms, to improve risk prediction and management. This work is crucial for enhancing decision-making in high-stakes scenarios, improving the safety and reliability of complex systems, and fostering responsible innovation in fields like AI and autonomous systems.

Papers

June 22, 2023

Impacts and Risk of Generative AI Technology on Cyber Defense
Subash Neupane, Ivan A. Fernandez, Sudip Mittal, Shahram Rahimi
Generative AI Generative Artificial Intelligence High Quality Risk Description Impact Assessment genAI System Cyber Defense

May 23, 2023

On the Risk of Misinformation Pollution with Large Language Models
Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang
High Quality Risk Description LLM Generated Open Domain Question Answering Misinformation Detection Harmful Data

May 16, 2023

May 4, 2023

Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification
Ilkin Isler, Debesh Jha, Curtis Lisle, Justin Rineer, Patrick Kelly, Bulent Aydogan, Mohamed Abazeed, Damla Turgut, Ulas Bagci
Self Supervised Learning Uncertainty Quantification Tumor Segmentation Self Supervised Pre Training High Quality Risk Description Human Organ

March 31, 2023

Assessing Language Model Deployment with Risk Cards
Leon Derczynski, Hannah Rose Kirk, Vidhisha Balachandran, Sachin Kumar, Yulia Tsvetkov, M. R. Leiser, Saif Mohammad
Language Model High Quality Risk Description Risk Aware

March 11, 2023

Predicting risk of delirium from ambient noise and light information in the ICU
Sabyasachi Bandyopadhyay, Ahna Cecil, Jessica Sena, Andrea Davidson, Ziyuan Guan, Subhash Nerella, Jiaqing Zhang, Kia Khezeli, Brooke Armfield, Azra Bihorac, Parisa Rashidi
High Quality Risk Description Intensive Care Unit Nighttime Image Limited Information Ambient Sound Delirium Prediction

February 28, 2023

Edit at your own risk: evaluating the robustness of edited models to distribution shifts
Davis Brown, Charles Godfrey, Cody Nizinski, Jonathan Tu, Henry Kvinge
Native Robustness Distribution Shift High Quality Risk Description Model Editing General Robustness Edited Model

February 21, 2023

February 14, 2023

To Risk or Not to Risk: Learning with Risk Quantification for IoT Task Offloading in UAVs
Anne Catherine Nguyen, Turgay Pamuklu, Aisha Syed, W. Sean Kennedy, Melike Erol-Kantarci
Unmanned Aerial Vehicle Various Fast Moving Drone High Quality Risk Description Computation Offloading Multi Access Edge Computing Operational Risk

January 28, 2023

Selecting Models based on the Risk of Damage Caused by Adversarial Attacks
Jona Klemenc, Holger Trittenbach
Artificial Intelligence Adversarial Attack High Quality Risk Description Adversary Agent

January 4, 2023

Disease X vaccine production and supply chains: risk assessing healthcare systems operating with artificial intelligence and industry 4.0
Petar Radanliev, David De Roure
Artificial Intelligence Healthcare System Common Disease Risk Sensitive High Quality Risk Description Supply Chain Major Challenge Bottleneck

December 5, 2022

Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
Bao Gia Doan, Ehsan Abbasnejad, Javen Qinfeng Shi, Damith C. Ranasinghe
Adversarial Attack Adversarial Training Bayesian Neural Network High Quality Risk Description Bayesian Learning Information Gain Adversarial Risk Robust Adversarial

December 1, 2022

Early prediction of the risk of ICU mortality with Deep Federated Learning
Korbinian Randl, Núria Lladós Armengol, Lena Mondrejevski, Ioanna Miliou
High Quality Risk Description Healthcare Data Early Prediction Federated Deep Intensive Care Unit Mortality

November 30, 2022

One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning
Marc Rigter, Bruno Lacerda, Nick Hawes
Offline Reinforcement Learning Epistemic Uncertainty Risk Sensitive High Quality Risk Description Model Based Offline Reinforcement Learning Risk Sensitive Reinforcement Learning High Epistemic Uncertainty

November 2, 2022

October 25, 2022

Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT
Jue Jiang, Jun Hong, Kathryn Tringale, Marsha Reyngold, Christopher Crane, Neelam Tyagi, Harini Veeraraghavan
Magnetic Resonance Imaging High Quality Risk Description Cone Beam

October 18, 2022

Risk of re-identification for shared clinical speech recordings
Daniela A. Wiepert, Bradley A. Malin, Joseph R. Duffy, Rene L. Utianski, John L. Stricker, David T. Jones, Hugo Botha
High Quality Risk Description Whistleblower Re Identification Speech Recording Speaker Recognition System Identification Risk

High Quality Risk Description

Papers

Impacts and Risk of Generative AI Technology on Cyber Defense

On the Risk of Misinformation Pollution with Large Language Models

Balancing Risk and Reward: An Automated Phased Release Strategy

Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs

Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification

Assessing Language Model Deployment with Risk Cards

Predicting risk of delirium from ambient noise and light information in the ICU

Edit at your own risk: evaluating the robustness of edited models to distribution shifts

Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations

Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations

To Risk or Not to Risk: Learning with Risk Quantification for IoT Task Offloading in UAVs

Selecting Models based on the Risk of Damage Caused by Adversarial Attacks

Disease X vaccine production and supply chains: risk assessing healthcare systems operating with artificial intelligence and industry 4.0

Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense

Early prediction of the risk of ICU mortality with Deep Federated Learning

One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning

Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning

Interpretable estimation of the risk of heart failure hospitalization from a 30-second electrocardiogram

Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT

Risk of re-identification for shared clinical speech recordings