AIBullisharXiv – CS AI · Mar 177/10
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RESQ: A Unified Framework for REliability- and Security Enhancement of Quantized Deep Neural Networks
Researchers propose RESQ, a three-stage framework that enhances both security and reliability of quantized deep neural networks through specialized fine-tuning techniques. The framework demonstrates up to 10.35% improvement in attack resilience and 12.47% in fault resilience while maintaining competitive accuracy across multiple neural network architectures.