BlackMirror: Black-Box Backdoor Detection for Text-to-Image Models via Instruction-Response Deviation
On the map: LLM safety and security → Backdoor and data poisoning attacks
Abstract (arXiv)
This paper investigates the challenging task of detecting backdoored text-to-image models under black-box settings and introduces a novel detection framework BlackMirror. Existing approaches typically rely on analyzing image-level similarity, under the assumption that backdoor-triggered generations exhibit strong consistency across samples. However, they struggle to generalize to recently emerging backdoor attacks, where backdoored generations can appear visually diverse. BlackMirror is motivated by an observation: across backdoor attacks, {only partial semantic patterns within the generated image are steadily manipulated, while the rest of the content remains diverse or benign. Accordingly, BlackMirror consists of two components: MirrorMatch, which aligns visual patterns with the corresponding instructions to detect semantic deviations; and MirrorVerify, which evaluates the stability of these deviations across varied prompts to distinguish true backdoor behavior from benign responses. BlackMirror is a general, training-free framework that can be deployed as a plug-and-play module in Model-as-a-Service (MaaS) applications. Comprehensive experiments demonstrate that BlackMirror achieves accurate detection across a wide range of attacks. Code is available at https://github.com/Ferry-Li/BlackMirror.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Backdoor and data poisoning attacks, one of 12 directions in LLM safety and security. Builds on 73 of its 102 references that are in the map. First posted on arXiv 6 Mar 2026.
Builds on
73 of 102 references.
Closest ancestors · 17
Same direction, newest first
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- 2023BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning20 Nov
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- 2023From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models4 Nov
- 2023Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models18 May
- 2023Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning7 May
- 2022How to Backdoor Diffusion Models?11 Dec
- 2022Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis4 Nov
Other references · 56
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Citing papers per year: 2026: 1.
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