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LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario
https://arxiv.org/html/2403.00108v1

LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem
https://arxiv.org/html/2403.00108v2

Attack on LLMs: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem
https://openreview.net/forum?id=0owyEm6FAk

LoBAM: LoRA-Based Backdoor Attack on Model Merging
https://arxiv.org/html/2411.16746v4

Causal-Guided Detoxify Backdoor Attack of Open-Weight LoRA Models
https://arxiv.org/html/2512.19297v1

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
https://arxiv.org/html/2507.18302

TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
https://aclanthology.org/2025.emnlp-main.1386.pdf

This Is How Your LLM Gets Compromised
https://www.trendmicro.com/en_us/research/25/i/prevent-llm-compromise.html

How private are your chat adapters? Evaluating the privacy of LoRA fine-tuned large language models with membership inference attacks
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13476/1347608/How-private-are-your-chat-adapters-Evaluating-the-privacy-of/10.1117/12.3053265.short
openreview.net Attack on LLMs: LoRA Once, Backdoor Everywhere in the... Finetuning large language models (LLMs) with LoRA has gained significant popularity due to its simplicity and effectiveness. Often times, users may even find pluggable community-shared LoRA...
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