GCD AI RADAR
incidents/AIR-2019-0006

Researchers demonstrate adversarial attack on Tesla Autopilot lane detection

Attack on AI1 Research / proof of conceptAdversarial evasion

Tencent Keen Security Lab discovered that placing crafted stickers on roadways misled Tesla Autopilot into changing lanes improperly. Tesla downplayed the findings, stating the scenario was unrealistic in real-world driving conditions.

Details

type
Attack on AI
An AI model, agent or AI-powered product was the thing exploited, abused or leaked.
categories
  • Adversarial evasion
    Inputs crafted to make a model misclassify or miss detections (perturbations, evasion of AI-based defences).
owasp llm top 10
no entry for these categories
mitre atlas
Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
severity
1 · Research / proof of concept
Demonstrated by researchers; no known real-world exploitation.
targets
Enterprise deployment
products
Tesla Autopilot
incident date
29 Mar 2019
first reported
29 Mar 2019
origin
AI Incident Database
Derived from the AI Incident Database (CC BY-SA 4.0).
classifier confidence
0.95 · published at or above 0.80; see the methodology
tags
adversarial-attack · tesla · computer-vision · autonomous-vehicles
record
created 2026-10-18 06:33Z · updated 2026-10-18 06:59Z · json

Sources · 1

  1. 2019-03-29
    Tesla Autopilot’s Lane Recognition Allegedly Vulnerable to Adversarial Attacks
    AI Incident Database · incidentdatabase.ai/cite/159

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

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