Detecting Verbatim LLM Copy-Paste in Homework

2026-05-19T07:23:34Z49ca201b7a35456fbd9ca39c1dc4da9f02202da117a4e3663d5a134871a562b6
LLMMalwarePTPQCSLEIGHT-Benchagentic AIantidistillationbenchmarksbinary foundation modeldata-exfiltrationdisclosure controlevasiongovernancemalwaremodel extractionmonitoringpost-quantum cryptographyprivacysecurity-researchsteganographywatermarking

What happened

This collection highlights emerging security implications of advanced generative and agentic AI plus related defensive tools and governance work. Key papers: SteganoPrompt — an input-side, invisible Unicode-tag watermark that survives common copy/paste channels to detect verbatim LLM copy-paste; interaction-layer antidistillation watermarks — behavioral markers (follow-ups/restatements) that transfer into distilled models and resist some paraphrasing; “Infinite Impostor” and agentic-AI analyses — argue agentic systems collapse the fidelity-vs-scale tradeoff enabling high‑fidelity, mass-targets

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_cr
Record identifier
49ca201b7a35456fbd9ca39c1dc4da9f02202da117a4e3663d5a134871a562b6
Enrichment time
2026-05-19T07:23:34Z
AI-assisted enrichment
Yes

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