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AI Security Technique

Hardware - AI Security Technique

Adversaries may target AI systems by disrupting or manipulating the hardware supply chain. AI models often run on specialized hardware such as GPUs, TPUs, or embedded devices, but may also be optimized to operate on CPUs.

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AI Security Techniquefeasible

Record summary

A quick snapshot of what this page covers.

Tactics0Attacker goals connected to this method.
Mitigations0Defenses that may help against this attack.
AI risks1Research-backed risks connected to this topic.

Attack context

How this AI attack works in practice.

ATLAS ID
AML.T0010.000
Priority score
15
Maturity: feasible

Mitigations

Defenses that may help against this attack.

No connected defenses. No defense is connected to this attack in the current data.

Case studies

Examples from public reports and exercises.

No case studies found. No public example is connected to this attack in the current data.

Related risks

Research-backed risks connected to this topic.

Software Supply Chains

Confidence: 0.68
Domain2. Privacy & SecuritySubdomain2.2 > AI system security vulnerabilities and attacks

"The software development toolchain of LLMs is complex and could bring threats to the developed LLM."

Related CVEs

Known software flaws linked to this context.

No related CVEs. No software flaw is connected to this attack in the current data.

Source

Where this page information comes from.