Fragments to Facts: Partial-Information Fragment Inference from LLMs
Authors: Lucas Rosenblatt, Bin Han, Robert Wolfe, Bill Howe | Published: 2025-05-20
Threats of Medical AI
SoK: Security and Privacy Risks of Medical AI
Authors: Yuanhaur Chang, Han Liu, Evin Jaff, Chenyang Lu, Ning Zhang | Published: 2024-09-11
Medical MLLM is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models
Authors: Xijie Huang, Xinyuan Wang, Hantao Zhang, Yinghao Zhu, Jiawen Xi, Jingkun An, Hao Wang, Hao Liang, Chengwei Pan | Published: 2024-05-26 | Updated: 2024-08-21
Confidential and Protected Disease Classifier using Fully Homomorphic Encryption
Authors: Aditya Malik, Nalini Ratha, Bharat Yalavarthi, Tilak Sharma, Arjun Kaushik, Charanjit Jutla | Published: 2024-05-05
Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection
Authors: Lisang Zhou, Meng Wang, Ning Zhou | Published: 2024-04-15
Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems
Authors: Mohammed Elnawawy, Mohammadreza Hallajiyan, Gargi Mitra, Shahrear Iqbal, Karthik Pattabiraman | Published: 2024-01-30 | Updated: 2024-04-12
Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes
Authors: Kwangho Kim, Bijan A. Niknam, José R. Zubizarreta | Published: 2023-11-01
Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review
Authors: Sricharan Donkada, Seyedamin Pouriyeh, Reza M. Parizi, Meng Han, Nasrin Dehbozorgi, Nazmus Sakib, Quan Z. Sheng | Published: 2023-08-26
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification
Authors: Yuxin Xiao, Shulammite Lim, Tom Joseph Pollard, Marzyeh Ghassemi | Published: 2023-05-18 | Updated: 2024-01-03
IoT Federated Blockchain Learning at the Edge
Authors: James Calo, Benny Lo | Published: 2023-04-06