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Category:All Headlines World & Geopolitics Markets & Economy Tech & AI PoliticsSearch results for: "Assessing the adversarial" (30 stories)

Evaluating the safety of large language models in healthcare and dentistry: adversarial testing approaches

Lead StoryNaturescience

Jul 8

Evaluating the safety of large language models in healthcare and dentistry: adversarial testing approaches

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBoUGZjYU9SZGl1WDhfdHlnUHNpZllWUVNrNEhEdGZPOFZXYWxjQk8tVTJfOTF5Z1ZoNUNyUmdwSTNNR3hjMk8xMHJTUVNGZjJ3RlVCc2dOVGt5eVUtVURZ?oc=5" target="_blank">Evaluating the safety of large language models in healthcare and dentistry: adversarial testing approaches</a>&nbsp;&nbsp;Nature

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Search Results for "Assessing the adversarial"

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Assessing the adversarial robustness of multimodal medical AI systems: insights into vulnerabilities and modality interactions

Frontierstech

Jun 30, 2025

Assessing the adversarial robustness of multimodal medical AI systems: insights into vulnerabilities and modality interactions

<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxQNXhhRU1TWjRWSmlpSnJCRzBxanZqbXlMaVlZNHplVVgwME9Gb0xFbFViRXByUENyYjZic19ia090U0xvaW5hLWs4Mkk0aHFaNXJTc1h6MV9HNlIwYVd1X3lqbW5GdmE2Nzc4WnJnUnRWSFc4UTA2dC1VeWJDN1VSV2NXWXd2b08yTFljQmtn?oc=5" target="_blank">Assessing the adversarial robustness of multimodal medical AI systems: insights into vulnerabilities and modality interactions</a>&nbsp;&nbsp;Frontiers

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Evaluating the safety of large language models in healthcare and dentistry: adversarial testing approaches

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Search Results for "Assessing the adversarial"

Assessing the adversarial robustness of multimodal medical AI systems: insights into vulnerabilities and modality interactions

EduGuardBench: A Holistic Benchmark for Evaluating the Pedagogical Fidelity and Adversarial Safety of LLMs as Simulated Teachers

Frenos unveils Mythos Readiness Assessment to test critical infrastructure defenses against autonomous adversarial threats

Adversarial-resilient lightweight phishing url detection: Evaluating lexical &amp; metadata features under evasion techniques

Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models

The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1

Charities call for closure of ‘adversarial’ Home Office age assessment board

Evaluating gait system vulnerabilities through PPO and GAN-generated adversarial attacks

DARPA Open Sources Resources to Aid Evaluation of Adversarial AI Defenses

Pseudo–Contrast-enhanced US via Enhanced Generative Adversarial Networks for Evaluating Tumor Ablation Efficacy

Grievances, Claims, and Disputes: Assessing the Adversary Culture

Exploiting Explainability to Design Adversarial Attacks and Evaluate Attack Resilience in Hate-Speech Detection Models

Dialectal substitution as an adversarial approach for evaluating Arabic NLP robustness

Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models | Proceedings of the AAAI Conference on Artificial Intelligence

When collaboration fails: persuasion driven adversarial influence in multi agent large language model debate

Adversarial susceptibility analysis for water quality prediction models

Generating imperceptible adversarial examples via low-frequency aware transfer attacks on battery management systems

Tailoring adversarial attacks on deep neural networks for targeted class manipulation using DeepFool algorithm

Secure yet fragile: adversarial vulnerabilities of federated vision–language models in medical AI | Scientific Reports

Synthesis and quality assessment of combined time-series and static medical data using a real-world time-series generative adversarial network | Scientific Reports

Reliability evaluation of rolling bearings based on generative adversarial network sample enhancement and maximum entropy method

Adversarial robust EEG-based brain–computer interfaces using a hierarchical convolutional neural network

Mobile applications for skin cancer detection are vulnerable to physical camera-based adversarial attacks

Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger

DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model

Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks

A generative adversarial network model alternative to animal studies for clinical pathology assessment

Evaluating the performance of generative adversarial network-synthesized periapical images in classifying C-shaped root canals

JFHQ-DODIN to officially launch its new Cyber Operational Readiness Assessment Program March 1st

Adversarial-resilient lightweight phishing url detection: Evaluating lexical & metadata features under evasion techniques