Hybrid edge-cloud perception DNNs combine fast on-board inference with more accurate but delayed cloud assistance for learning-enabled CPS. The key challenge is deciding when cloud inference should be invoked: always-on cloud usage improves information quality but increases latency, bandwidth, and monetary cost, while...
Cem Baykal, Prateek Ganguli, Ting-An Zhu et al.· Coins· 0 citations
Adversarial machine learning has focused mainly on integrity, but availability is an increasingly consequential complement. Latency attacks (also energy-latency attacks) increase inference-time work, energy, or response time, causing deadline misses, throughput collapse, or resource exhaustion in vehicle controllers, i...
Zong-Hua Gu, Ze-Yu Gao, Amin Saremi et al.· 2 citations
BASE-T1S is a low-cost multidrop Ethernet technology whose shared-medium access is governed by Physical Layer Collision Avoidance (PLCA). While attractive for automotive zonal edge networks, PLCA introduces non-trivial bus-access latency whose worst case depends on the interaction of roundrobin arbitration, empty and o...
Sheng-Jie Xu, Prateek Ganguli, K. Shazzad et al.· IEEE International Conferenc...· 0 citations
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