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Category:All Headlines World & Geopolitics Markets & Economy Tech & AI PoliticsSearch results for: "Adversarial robustness of" (30 stories)

Adversarial robustness of LLM-based multi-agent systems for engineering problems

Lead StoryFrontiersgeneral

Apr 20

Adversarial robustness of LLM-based multi-agent systems for engineering problems

<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxNQ1J6bHprcVpRVVhKaUlMWm1jZ3V4ZTJXaVIzWTFJZlgwUmdHeExwdnM5amd6QlNOaThCVGlVeEphZndmbUR1eEZUUENITnhXVHJGcVlfSHVURVhDSTJjZE1rbG1BQlVIeUF1SEktenRQUjY1bk05aFNCVUJ1aHBMcVhITlZGMTExbWtKS3UxMko2M1BxVHZja0Q2NkRLUFRFQmc?oc=5" target="_blank">Adversarial robustness of LLM-based multi-agent systems for engineering problems</a>&nbsp;&nbsp;Frontiers

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Search Results for "Adversarial robustness of"

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Active machine learning approach to adversarial training improves trade-off between natural accuracy and adversarial robustness | Scientific Reports

Naturetech

Apr 28

Active machine learning approach to adversarial training improves trade-off between natural accuracy and adversarial robustness | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4wMG9qVHptV3BMRWZMQzhSd0ZwUG1ObDVWTGhtbEJxZXhRN1h4amh2YXl4Qk5RWnVWN252VHJ5eDdfZk5QZExfUEJDQldwSWk3NlFuUjBydmozMjdWU2Z3?oc=5" target="_blank">Active machine learning approach to adversarial training improves trade-off between natural accuracy and adversarial robustness | Scientific Reports</a>&nbsp;&nbsp;Nature

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Adversarial robustness of LLM-based multi-agent systems for engineering problems

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Search Results for "Adversarial robustness of"

Active machine learning approach to adversarial training improves trade-off between natural accuracy and adversarial robustness | Scientific Reports

Adversarial Robustness of Capsule Networks for Medical Image Classification

End-to-End Multimodal Data Augmentation and Adversarial Robustness Benchmark with AugLy for Images, Text, Audio, and PyTorch

Multi-granularity Intent Modeling with Adversarial Robustness for Sequential Recommendation

Empirical analysis of adversarial robustness in 3D Gaussian Splatting under multi-view inconsistency attacks

TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability

Adversarial vulnerability and robustness of deep learning models for panoramic dental X-ray segmentation

Breaking the Adversarial Robustness-Performance Trade-off in Text Classification via Manifold Purification

Adversarial robustness guarantees for quantum classifiers

Vulnerability-Aware Robust Multimodal Adversarial Training

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

Feature Compression May Be the Root Cause of Adversarial Fragility in Neural Network Classifiers (Student Abstract)

AI detection in Italian essays through different text representations and adversarial robustness evaluation

One Pixel Can Change the Diagnosis: Adversarial and Non-Adversarial Robustness and Uncertainty in Breast Ultrasound Classification Model | Proceedings of the AAAI Symposium Series

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

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

An optimized graph neural network approach for robust and explainable IoT intrusion detection against adversarial attacks

Optimized CatBoost machine learning (OCML) for DDoS detection in cloud virtual machines with time-series and adversarial robustness

Dialectal substitution as an adversarial approach for evaluating Arabic NLP robustness

An enhanced ensemble defense framework for boosting adversarial robustness of intrusion detection systems

The inherent adversarial robustness of analog in-memory computing

On the adversarial robustness of aerial detection

Hybrid framework for image forgery detection and robustness against adversarial attacks using vision transformer and SVM

Robust SAM: On the Adversarial Robustness of Vision Foundation Models

Quantum Machine Learning Achieves 93% Adversarial

AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models

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

Neural architecture search for adversarial robustness via learnable pruning

Adversarial attacks and adversarial robustness in computational pathology