Too Many Cores to Care: When Parallelism Breaks Side-Channel Attacks
Opening — Why this matters now Edge AI has been sold as a performance story: lower latency, fewer cloud dependencies, tighter privacy boundaries. But as neural networks migrate from data centers into physically accessible devices, the old ghosts of hardware security resurface. Side‑channel attacks—particularly correlation power analysis (CPA)—have already proven capable of stealing neural network weights from embedded devices. ...