医療AIの脅威

SoK: Security and Privacy Risks of Medical AI

Authors: Yuanhaur Chang, Han Liu, Evin Jaff, Chenyang Lu, Ning Zhang | Published: 2024-09-11
バックドア攻撃
プライバシー保護
医療AIの脅威

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
プロンプトインジェクション
医療AIの脅威
攻撃手法

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
プライバシー保護
医療AIの脅威
深層学習手法

Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection

Authors: Lisang Zhou, Meng Wang, Ning Zhou | Published: 2024-04-15
データ前処理
プライバシー保護
医療AIの脅威

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
ウォーターマーキング
リスク管理
医療AIの脅威

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
医療AIの脅威
最適化アルゴリズムの選択と評価
計算効率

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
スマートヘルスケア
医療AIの脅威
連合学習

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
プライバシー保護手法
公平性評価
医療AIの脅威

IoT Federated Blockchain Learning at the Edge

Authors: James Calo, Benny Lo | Published: 2023-04-06
クラウドコンピューティング
医療AIの脅威
機械学習技術

Deepfake histological images for enhancing digital pathology

Authors: Kianoush Falahkheirkhah, Saumya Tiwari, Kevin Yeh, Sounak Gupta, Loren Herrera-Hernandez, Michael R. McCarthy, Rafael E. Jimenez, John C. Cheville, Rohit Bhargava | Published: 2022-06-16
アルゴリズム
医療AIの脅威
性能評価