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Hyperdimensional Computing (HDC) is facing infringement issues due tostraightforward computations. This work, for the first time, raises a criticalvulnerability of HDC, an attacker can reverse engineer the entire model, onlyrequiring the unindexed hypervector memory. To mitigate this attack, we proposea defense strategy, namely HDLock, which significantly increases the reasoningcost of encoding. Specifically, HDLock adds extra feature hypervectorcombination and permutation in the encoding module. Compared to the standardHDC model, a two-layer-key HDLock can increase the adversarial reasoningcomplexity by 10 order of magnitudes without inference accuracy loss, with only21% latency overhead.

HDLock: Exploiting Privileged Encoding to Protect Hyperdimensional Computing Models against IP Stealing