A Parallel Optimization Method for Robustness Verification of Deep Neural Networks
Renhao Lin,
Qinglei Zhou,
Xiaofei Nan
et al.
Abstract:Deep neural networks (DNNs) have gained considerable attention for their expressive capabilities, but unfortunately they have serious robustness risks. Formal verification is an important technique to ensure network reliability. However, current verification techniques are unsatisfactory in time performance, which hinders the practical applications. To address this issue, we propose an efficient optimization method based on parallel acceleration with more computing resources. The method involves the speedup co… Show more
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