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Quantization-aware Interval Bound Propagation for Training Certifiably
  Robust Quantized Neural Networks

Quantization-aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks

AAAI Conference on Artificial Intelligence (AAAI), 2022
29 November 2022
Mathias Lechner
Dorde Zikelic
K. Chatterjee
T. Henzinger
Daniela Rus
    AAML
ArXiv (abs)PDFHTML

Papers citing "Quantization-aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks"

4 / 4 papers shown
Title
GABFusion: Rethinking Feature Fusion for Low-Bit Quantization of Multi-Task Networks
GABFusion: Rethinking Feature Fusion for Low-Bit Quantization of Multi-Task Networks
Zhaoyang Wang
Dong Wang
MQ
80
0
0
08 Nov 2025
Compression Aware Certified Training
Compression Aware Certified Training
Changming Xu
Gagandeep Singh
134
0
0
13 Jun 2025
Logic Gate Neural Networks are Good for Verification
Logic Gate Neural Networks are Good for Verification
Fabian Kresse
Emily Yu
Christoph H. Lampert
T. Henzinger
175
3
0
26 May 2025
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
Yuchen Yang
Shubham Ugare
Yifan Zhao
Gagandeep Singh
Sasa Misailovic
MQ
303
1
0
31 Oct 2024
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