Fault Injection Attacks on Q-Learning: Analysis, Vulnerabilities, and Countermeasures

# Fault Injection Attacks on Q-Learning: Analysis, Vulnerabilities, and Countermeasures

https://gcdradar.vercel.app/incidents/fault-injection-attacks-on-q-learning-analysis-vulnerabiliti · AIR-2026-1967 · live

- Lane: Research
- Severity: 1 (Research / proof of concept): Research paper demonstrating hardware fault injection attacks on machine learning.
- Fix status: Fix status unknown
- First reported: 2026-11-13
- AI role: Attack on AI
- Products: Q-Learning

## Summary

Researchers present a security analysis of Q-Learning implementations under voltage and clock glitching attacks on a ChipWhisperer platform. The study shows faults corrupt reward computation, action selection, and Q-value updates.

## What to do

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

## Latest updates

- 2026-11-13: Fault Injection Attacks on Q-Learning: Analysis, Vulnerabilities, and Countermeasures (https://arxiv.org/abs/2611.16151)

## Sources

- 2026-11-13 arXiv: Fault Injection Attacks on Q-Learning: Analysis, Vulnerabilities, and Countermeasures https://arxiv.org/abs/2611.16151

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