GCD AI RADAR
incidents/AIR-2020-0029

Model Extraction and Adversarial Attacks on Translation APIs

Attack on AI1 Research / proof of conceptModel theft / extractionAdversarial evasion

Researchers replicated commercial machine translation services via public APIs and transferred adversarial inputs to trigger targeted errors. The demonstration proved that black-box models are vulnerable to extraction and evasion.

Details

type
Attack on AI
An AI model, agent or AI-powered product was the thing exploited, abused or leaked.
categories
  • Model theft / extractionprimary
    Weights stolen, or model behaviour replicated through extraction or distillation attacks.
  • Adversarial evasion
    Inputs crafted to make a model misclassify or miss detections (perturbations, evasion of AI-based defences).
mitre atlas
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 concept
Demonstrated by researchers; no known real-world exploitation.
targets
Google, Microsoft
products
Google Translate, Bing Translator, Systran Translate
incident date
30 Apr 2020
first reported
18 Nov 2020
origin
MITRE ATLAS
Derived from MITRE ATLAS (Apache 2.0, © MITRE).
classifier confidence
0.95 · published at or above 0.80; see the methodology
tags
model-extraction · adversarial-evasion · translation-api
record
created 2026-10-18 06:55Z · updated 2026-10-18 06:55Z · json

Sources · 4

  1. 2020-11-18
    Attack on Machine Translation Services
    MITRE ATLAS · atlas.mitre.org/studies/AML.CS0005
  2. 2020-11-18
  3. 2020-11-18
  4. 2020-11-18
    Google under fire for mistranslating Chinese amid Hong Kong protests
    thehill.com · thehill.com/policy/international/asia-pacific/449164-google-under-fire-for-mistr

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