gcdRadar
archive/Research/AIR-2023-0015
closedclosed 14 Apr 2023Research1 Research / proof of conceptAI

MITRE AI Red Team demonstrates physical evasion attack on face identification

Commercial Face Identification Service

Researchers demonstrated a physical-domain evasion attack on a commercial face identification service to induce misclassification. The exercise combined traditional enterprise techniques with adversarial machine learning steps.

first report
31 Mar 2023
last update
31 Mar 2023

Timeline · 2

  1. 31 Mar 2023AVID-2023-V012: MITRE's AI Red Team demonstrated a physical-domain evasion attack on a commercial face identification service with the intention of inducing a targeted misclassification.
  2. 31 Mar 2023Face Identification System Evasion via Physical Countermeasures

Sources · 2

Research and catalogues

  1. 2023-03-31
  2. 2023-03-31
    Face Identification System Evasion via Physical Countermeasures
    MITRE ATLAS · atlas.mitre.org/studies/AML.CS0012

Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.

Classification

AI role
Attack on AI
categories
Adversarial evasion
severity
1 · Research / proof of concept
targets
Enterprise deployment
owasp llm top 10
no entry for these categories
dates
happened 31 Mar 2023 · first reported 31 Mar 2023
origin
AVID
record
confidence 0.90 · created 2026-10-18 06:56Z · updated 2026-10-18 06:56Z

Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned

Copy a brief

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the brief as text
# MITRE AI Red Team demonstrates physical evasion attack on face identification

https://gcdradar.vercel.app/incidents/mitre-ai-red-team-demonstrates-physical-evasion-attack-on-fa · AIR-2023-0015 · closed 2023-04-14

- Lane: Research
- Severity: 1 (Research / proof of concept)
- Fix status: Fix status unknown
- First reported: 2023-03-31
- AI role: Attack on AI
- Products: Commercial Face Identification Service

## Summary

Researchers demonstrated a physical-domain evasion attack on a commercial face identification service to induce misclassification. The exercise combined traditional enterprise techniques with adversarial machine learning steps.

## What to do

No action recorded; read the sources below and the vendor's advisory.

## Latest updates

- 2023-03-31: Face Identification System Evasion via Physical Countermeasures (https://atlas.mitre.org/studies/AML.CS0012)
- 2023-03-31: AVID-2023-V012: MITRE's AI Red Team demonstrated a physical-domain evasion attack on a commercial face identification service with the intention of inducing a targeted misclassification. (https://github.com/avidml/avid-db/blob/main/vulnerabilities/2023/AVID-2023-V012.json)

## Sources

- 2023-03-31 AVID: AVID-2023-V012: MITRE's AI Red Team demonstrated a physical-domain evasion attack on a commercial face identification service with the intention of inducing a targeted misclassification. https://github.com/avidml/avid-db/blob/main/vulnerabilities/2023/AVID-2023-V012.json
- 2023-03-31 MITRE ATLAS: Face Identification System Evasion via Physical Countermeasures https://atlas.mitre.org/studies/AML.CS0012

Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.

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