Quantization-aware interval bound propagation for training certifiably robust quantized neural networks

• Main Authors: LECHNER, Mathias, ZIKELIC, Dorde, CHATTERJEE, Krishnendu, HENZINGER, A. Thomas, RUS, Daniela
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/9082; https://ink.library.smu.edu.sg/context/sis_research/article/10085/viewcontent/26747_Article_Text_30810_1_2_20230626.pdf
• Institution: Singapore Management University

We study the problem of training and certifying adversarially robust quantized neural networks (QNNs). Quantization is a technique for making neural networks more efficient by running them using low-bit integer arithmetic and is therefore commonly adopted in industry. Recent work has shown that floa...