  A growing number of vehicles are being transformed into semi-autonomous
vehicles (Level 2 autonomy) by relying on advanced driver assistance systems
(ADAS) to improve the driving experience. However, the increasing complexity
and connectivity of ADAS expose the vehicles to safety-critical faults and
attacks. This paper investigates the resilience of a widely-used ADAS against
safety-critical attacks that target the control system at opportune times
during different driving scenarios and cause accidents. Experimental results
show that our proposed Context-Aware attacks can achieve an 83.4% success rate
in causing hazards, 99.7% of which occur without any warnings. These results
highlight the intolerance of ADAS to safety-critical attacks and the importance
of timely interventions by human drivers or automated recovery mechanisms to
prevent accidents.
