Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency

14 March 2024

Papers citing "Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency"

6 / 6 papers shown

Title
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 54 0 0 08 Feb 2024
Pruning Adversarially Robust Neural Networks without Adversarial Examples T. Jian Zifeng Wang Yanzhi Wang Jennifer Dy Stratis Ioannidis AAML VLM 41 11 0 09 Oct 2022
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 141 684 0 31 Jan 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 234 677 0 19 Oct 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 273 3,110 0 04 Nov 2016
Safety Verification of Deep Neural Networks Xiaowei Huang M. Kwiatkowska Sen Wang Min Wu AAML 180 932 0 21 Oct 2016