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
Sources · 2
Research and catalogues
- 2023-03-31AVID-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.AVID · github.com/avidml/avid-db/blob/main/vulnerabilities/2023/AVID-2023-V012.json
- 2023-03-31Face Identification System Evasion via Physical CountermeasuresMITRE 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
- lane
- Research
- 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
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# 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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