Latest Articles for Data Integrity

Exploring how errors in catalytic computation can expand computational capabilities.

Exploring strategies for finding maximum values amid corrupted data.

This article examines methods for detecting data contamination in large language models.

New methods aim to reduce inaccuracies in language models within information retrieval systems.

Introducing PAD-FT, a lightweight method to fight backdoor attacks without clean data.

Exploring Reverse Preference Attacks and their impact on model safety.

New findings raise concerns over superconductivity claims in hydrogen-rich materials.

This article investigates the threats posed by poisoning attacks on database systems.

An overview of traditional and deep learning methods in network security.

This article discusses the effects of denial-of-service attacks on cyber-physical systems and ways to mitigate them.

A new framework identifies when multimodal models use inappropriate training data.

Data forging attacks pose serious threats to model integrity and privacy.

Learn about the challenges of property testing in datasets with adversaries.

Learn how data poisoning interferes with AI training processes.

Learn how to improve Graph Neural Networks by correcting harmful data.

Exploring vulnerabilities and defenses in modern transportation networks.

How AI models can fake their intelligence through manipulation.

Examining the controversies and challenges of diagnosing SBS and AHT.

Chorba improves CRC checks with speed and simplicity.

Learn how PoisonCatcher protects IIoT data from harmful intrusions.

Learn how data corruption impacts machine learning and ways to tackle it.