Relationship between Model Compression and Adversarial Robustness: A
Review of Current Evidence

Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence

27 November 2023

Svetlana Pavlitska

J. Marius Zöllner

Papers citing "Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence"

6 / 6 papers shown

Title
On the Adversarial Robustness of Quantized Neural Networks Micah Gorsline James T. Smith Cory E. Merkel AAML 48 18 0 01 May 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,561 0 17 Apr 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 316 1,047 0 10 Feb 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 252 36,362 0 25 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,835 0 08 Jul 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014