Physical Countermeasures - AI Security Technique
AI Security TechniqueAdversaries may acquire or manufacture physical countermeasures to aid or support their attack. These components may be used to disrupt or degrade the model, such as adversarial patterns printed on stickers or T-shirts, disguises, or decoys. They may also be used to disrupt or degrade the sensors used in capturing data, such as laser pointers, light bulbs, or other tools.
Overview
A source-backed snapshot of this AI security technique.
Technique details
Identifiers, maturity, and source taxonomy for this technique.
- ATLAS ID
- AML.T0008.003
- Maturity
- demonstrated
- Priority score
- 30
Attack flow
How to read the public records connected to this technique.
Impact
Why this technique may deserve attention in the current dataset.
- Evidence leveldemonstrated
- Mapped defenses0 ATLAS mitigation records
- Public examples1 linked case study records
- Research risks0 related MIT AI Risk records above the confidence threshold
- Vulnerabilities0 linked CVE records
Mitigations
Defenses that may help against this attack.
Case studies
Examples from public reports and exercises.
Face Identification System Evasion via Physical Countermeasures
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. This operation had a combination of traditional MITRE ATT&CK techniques such as finding valid accounts and executing code via an API - all interleaved with adversarial ML specific attacks.
Source evidence
Original public records and references for this page.
Original source
Original source links
Open the public records and source datasets used for this page.