:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Gabriel, Anthonio Oladimeji, Yusuf, Ahmad Rufai
Format:	Preprint
Published:	2026
Subjects:	Computers and Society Artificial Intelligence Machine Learning I.2.1; J.3
Online Access:	https://arxiv.org/abs/2605.16993
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

IyàwóBench: A Benchmark for Evaluating Large Language Model Clinical Triage Accuracy on Undifferentiated Febrile Illness in Nigerian Primary Health Settings
by: Gabriel, Anthonio Oladimeji, et al.
Published: (2026)

From Fragile to Certified: Wasserstein Audits of Group Fairness Under Distribution Shift
by: Ehyaei, Ahmad-Reza, et al.
Published: (2025)

Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning
by: Sankaran, Aditya Narayan, et al.
Published: (2024)

XSPA: Crafting Imperceptible X-Shaped Sparse Adversarial Perturbations for Transferable Attacks on VLMs
by: Hu, Chengyin, et al.
Published: (2026)

Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
by: Lou, Tianrui, et al.
Published: (2024)

Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis
by: Gu, Wenwei, et al.
Published: (2025)

Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets
by: Manafi, Shadi, et al.
Published: (2024)

Estado venezolano: falta de digitalización como ocultamiento
by: Andrés Anthonio Segovia Moreno
Published: (2021)

Imperceptible Adversarial Examples in the Physical World
by: Xu, Weilin, et al.
Published: (2024)

Cross-Lingual Transfer for Low-Resource Natural Language Processing
by: García-Ferrero, Iker
Published: (2025)

To Translate or Not to Translate: A Systematic Investigation of Translation-Based Cross-Lingual Transfer to Low-Resource Languages
by: Ebing, Benedikt, et al.
Published: (2023)

A Clinical Trial Design Approach to Auditing Language Models in Healthcare Setting
by: Gondara, Lovedeep, et al.
Published: (2024)

PWAVEP: Purifying Imperceptible Adversarial Perturbations in 3D Point Clouds via Spectral Graph Wavelets
by: Li, Haoran, et al.
Published: (2026)

Adversarial Vulnerability Under Temporal Concept Drift: A Longitudinal Study of Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2026)

SAIF: Sparse Adversarial and Imperceptible Attack Framework
by: Imtiaz, Tooba, et al.
Published: (2022)

Democratizing MLLMs in Healthcare: TinyLLaVA-Med for Efficient Healthcare Diagnostics in Resource-Constrained Settings
by: Mir, Aya El, et al.
Published: (2024)

Efficient ASR for Low-Resource Languages: Leveraging Cross-Lingual Unlabeled Data
by: Bandarupalli, Srihari, et al.
Published: (2025)

Translation Errors Significantly Impact Low-Resource Languages in Cross-Lingual Learning
by: Agrawal, Ashish Sunil, et al.
Published: (2024)

Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages
by: Gupta, Shivanshu, et al.
Published: (2023)

Fragile Reconstruction: Adversarial Vulnerability of Reconstruction-Based Detectors for Diffusion-Generated Images
by: Jiang, Haoyang, et al.
Published: (2026)

Crafting Imperceptible On-Manifold Adversarial Attacks for Tabular Data
by: He, Zhipeng, et al.
Published: (2025)

Localizing Adversarial Attacks To Produces More Imperceptible Noise
by: Reddy, Pavan, et al.
Published: (2025)

Evaluating the Effectiveness of SIWES Programs for Computer Science Students at Moshood Abiola Polytechnic, Abeokuta
by: Oladimeji, Ganiyu
Published: (2024)

Rethinking trust in the digital age: An investigation of zero trust architecture's social consequences on organizational culture, collaboration, and knowledge sharing
by: Oladimeji, Ganiyu
Published: (2025)

A Critical Analysis of Foundations, Challenges and Directions for Zero Trust Security in Cloud Environments
by: Oladimeji, Ganiyu
Published: (2024)

FairHealth: An Open-Source Python Library for Trustworthy Healthcare AI in Low-Resource Settings
by: Yesmin, Farjana
Published: (2026)

Embeddings to Diagnosis: Latent Fragility under Agentic Perturbations in Clinical LLMs
by: Vijayaraj, Raj Krishnan
Published: (2025)

AI Applications in Resource-Limited Healthcare Settings for Disease Diagnosis in Malawi: A Systematic Literature Review
by: Chitondi, Chirwa, et al.
Published: (2012)

BhashaSetu: Cross-Lingual Knowledge Transfer from High-Resource to Extreme Low-Resource Languages
by: Maji, Subhadip, et al.
Published: (2026)

Adversarial Drift-Aware Predictive Transfer: Toward Durable Clinical AI
by: Xiong, Xin, et al.
Published: (2026)

IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning
by: Wang, Jiayao, et al.
Published: (2025)

On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations
by: Holtz, Chester, et al.
Published: (2024)

Anchoring LLM Gender Bias to Human Baselines: A Cross-Lingual Audit
by: Choi, Jiwoo, et al.
Published: (2026)

Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages
by: Sohn, Jimin, et al.
Published: (2024)

Dialect Matters: Cross-Lingual ASR Transfer for Low-Resource Indic Language Varieties
by: Dhasmana, Akriti, et al.
Published: (2026)

Cross-Lingual Probing and Community-Grounded Analysis of Gender Bias in Low-Resource Bengali
by: Reaj, Md Asgor Hossain, et al.
Published: (2026)

Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds
by: Zhang, Hanwei, et al.
Published: (2024)

Imperceptible Face Forgery Attack via Adversarial Semantic Mask
by: Liu, Decheng, et al.
Published: (2024)

Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis
by: He, Zhipeng, et al.
Published: (2024)

Minimal Prompt Perturbations Lead to Code Vulnerabilities: Prompt Fragility and Hidden-State Signals in Coding LLMs
by: Sternfeld, Alexander, et al.
Published: (2026)