English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In recent years, particularly since the early 2020s, Large Language Models(LLMs) have emerged as the most powerful AI tools in addressing a diverse rangeof challenges, from natural language processing to complex problem-solving invarious domains. In the field of tamper detection, LLMs are capable ofidentifying basic tampering activities.To assess the capabilities of LLMs inmore specialized domains, we have collected five different LLMs developed byvarious companies: GPT-4, LLaMA, Bard, ERNIE Bot 4.0, and Tongyi Qianwen. Thisdiverse range of models allows for a comprehensive evaluation of theirperformance in detecting sophisticated tampering instances.We devised twodomains of detection: AI-Generated Content (AIGC) detection and manipulationdetection. AIGC detection aims to test the ability to distinguish whether animage is real or AI-generated. Manipulation detection, on the other hand,focuses on identifying tampered images. According to our experiments, most LLMscan identify composite pictures that are inconsistent with logic, and only morepowerful LLMs can distinguish logical, but visible signs of tampering to thehuman eye. All of the LLMs can't identify carefully forged images and veryrealistic images generated by AI. In the area of tamper detection, LLMs stillhave a long way to go, particularly in reliably identifying highlysophisticated forgeries and AI-generated images that closely mimic reality.

Research about the Ability of LLM in the Tamper-Detection Area