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Projection Probability-Driven Black-Box Attack
[article]
2020
arXiv
pre-print
Generating adversarial examples in a black-box setting retains a significant challenge with vast practical application prospects. In particular, existing black-box attacks suffer from the need for excessive queries, as it is non-trivial to find an appropriate direction to optimize in the high-dimensional space. In this paper, we propose Projection Probability-driven Black-box Attack (PPBA) to tackle this problem by reducing the solution space and providing better optimization. For reducing the
arXiv:2005.03837v1
fatcat:zbvsrpb75zakzprqwpn5byqapa