A new study reveals that data leakage in automotive perception systems is widely recognized but poorly understood among industrial practitioners, with fragmented knowledge across different roles. This matters because it highlights the need for better coordination and shared definitions to ensure reliable machine learning models in safety-critical applications. Developers should focus on improving cross-role communication and implementing traceable data practices to mitigate risks effectively.
Read the full article at arXiv cs.CR (Cryptography & Security)
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Ali NematiWritten by Ali
