Researchers replicate machine translation services and transfer adversarial attacks
Attack on AI1 Research / proof of conceptModel theft / extractionAdversarial evasion
Academic researchers successfully replicated commercial translation APIs and used the extraction to craft adversarial inputs causing targeted translation errors. The work demonstrates model extraction and adversarial vulnerability.
Details
- type
- Attack on AIAn AI model, agent or AI-powered product was the thing exploited, abused or leaked.
- categories
- Model theft / extractionprimaryWeights stolen, or model behaviour replicated through extraction or distillation attacks.
- Adversarial evasionInputs crafted to make a model misclassify or miss detections (perturbations, evasion of AI-based defences).
- Model theft / extractionprimary
- owasp llm top 10
- mitre atlas
- AML.T0015 Evade AI Model
- AML.T0043 Craft Adversarial Data
- AML.T0048.004 External Harms: AI Intellectual Property Theft
Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How- severity
- 1 · Research / proof of conceptDemonstrated by researchers; no known real-world exploitation.
- targets
- Google, Enterprise deployment
- products
- Google Translate, Bing Translator, Systran Translate
- incident date
- 31 Mar 2023
- first reported
- 31 Mar 2023
- origin
- AVID
- classifier confidence
- 0.95 · published at or above 0.80; see the methodology
- tags
- model-extraction · adversarial-evasion · translation
- record
- created 2026-10-18 06:56Z · updated 2026-10-18 06:56Z · json
Sources · 5
- 2023-03-31AVID-2023-V006: Machine translation services (such as Google Translate, Bing Translator, and Systran Translate) provide public-facing UIs and APIs.AVID · github.com/avidml/avid-db/blob/main/vulnerabilities/2023/AVID-2023-V006.json
- 2023-03-31Attack on Machine Translation Service - Google Translate, Bing Translator, and Systran TranslateMITRE ATLAS · atlas.mitre.org/studies/AML.CS0005
- 2023-03-31Wallace, Eric, et al. "Imitation Attacks and Defenses for Black-box Machine Translation Systems" EMNLP 2020arXiv · arxiv.org/abs/2004.15015
- 2023-03-31Project Page, "Imitation Attacks and Defenses for Black-box Machine Translation Systems"ericswallace.com · ericswallace.com/imitation
- 2023-03-31Google under fire for mistranslating Chinese amid Hong Kong proteststhehill.com · thehill.com/policy/international/asia-pacific/449164-google-under-fire-for-mistr
Titles and links belong to their publishers. The summary above is written by GCD AI RADAR in its own words; data is CC BY-SA 4.0.
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