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1810.00208
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To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression
29 September 2018
Yiren Zhao
Ilia Shumailov
Robert D. Mullins
Ross J. Anderson
AAML
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Papers citing
"To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression"
27 / 27 papers shown
Title
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models
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The Inherent Adversarial Robustness of Analog In-Memory Computing
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Julian Büchel
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Corey Lammie
Abu Sebastian
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147
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Properties that allow or prohibit transferability of adversarial attacks among quantized networks
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Jürgen Grossmann
AAML
68
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0
15 May 2024
Robustness to distribution shifts of compressed networks for edge devices
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Ali Edalati
Brett H. Meyer
Warren Gross
James J. Clark
103
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0
22 Jan 2024
Bag of Tricks to Boost Adversarial Transferability
Zeliang Zhang
Rongyi Zhu
Wei Yao
Xiaosen Wang
Chenliang Xu
AAML
129
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0
16 Jan 2024
Transferable Learned Image Compression-Resistant Adversarial Perturbations
Yang Sui
Zhuohang Li
Ding Ding
Xiang Pan
Xiaozhong Xu
Shan Liu
Zhenzhong Chen
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81
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0
06 Jan 2024
QVIP: An ILP-based Formal Verification Approach for Quantized Neural Networks
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Zhe Zhao
Fu Song
Hao Fei
Tao Chen
Jun Sun
92
20
0
10 Dec 2022
QEBVerif: Quantization Error Bound Verification of Neural Networks
Yedi Zhang
Fu Song
Jun Sun
MQ
141
12
0
06 Dec 2022
Attacking Compressed Vision Transformers
Swapnil Parekh
Devansh Shah
Pratyush Shukla
AAML
62
1
0
28 Sep 2022
Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial Pruning
Jonah O'Brien Weiss
Tiago A. O. Alves
S. Kundu
AAML
61
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0
15 Jun 2022
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network
Byung-Kwan Lee
Junho Kim
Y. Ro
AAML
76
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0
06 Apr 2022
Learning Robust and Lightweight Model through Separable Structured Transformations
Xian Wei
Yanhui Huang
Yang Xu
Mingsong Chen
Hai Lan
Yuanxiang Li
Zhongfeng Wang
Xuan Tang
OOD
93
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0
27 Dec 2021
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy
Lucas Liebenwein
Cenk Baykal
Brandon Carter
David K Gifford
Daniela Rus
AAML
102
76
0
04 Mar 2021
Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification
Yao Qiang
Supriya Tumkur Suresh Kumar
Marco Brocanelli
D. Zhu
AAML
79
0
0
10 Jan 2021
Robustness and Transferability of Universal Attacks on Compressed Models
Alberto G. Matachana
Kenneth T. Co
Luis Muñoz-González
David Martínez
Emil C. Lupu
AAML
95
11
0
10 Dec 2020
Achieving Adversarial Robustness via Sparsity
Shu-Fan Wang
Ningyi Liao
Liyao Xiang
Nanyang Ye
Quanshi Zhang
AAML
99
17
0
11 Sep 2020
Towards Practical Lottery Ticket Hypothesis for Adversarial Training
Bai Li
Shiqi Wang
Yunhan Jia
Yantao Lu
Zhenyu Zhong
Lawrence Carin
Suman Jana
AAML
165
14
0
06 Mar 2020
Towards Certifiable Adversarial Sample Detection
Ilia Shumailov
Yiren Zhao
Robert D. Mullins
Ross J. Anderson
AAML
65
14
0
20 Feb 2020
Learning to Prevent Leakage: Privacy-Preserving Inference in the Mobile Cloud
Shuang Zhang
Liyao Xiang
Congcong Li
Yixuan Wang
Quanshi Zhang
Zeyu Liu
Yue Liu
FedML
89
1
0
18 Dec 2019
Security of Deep Learning Methodologies: Challenges and Opportunities
Shahbaz Rezaei
Xin Liu
AAML
103
4
0
08 Dec 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks
Rémi Bernhard
Pierre-Alain Moëllic
J. Dutertre
AAML
MQ
143
18
0
27 Sep 2019
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information
Yiren Zhao
Ilia Shumailov
Han Cui
Xitong Gao
Robert D. Mullins
Ross J. Anderson
AAML
122
31
0
06 Sep 2019
Towards Compact and Robust Deep Neural Networks
Vikash Sehwag
Shiqi Wang
Prateek Mittal
Suman Jana
AAML
105
40
0
14 Jun 2019
Adversarially Robust Distillation
Micah Goldblum
Liam H. Fowl
Soheil Feizi
Tom Goldstein
AAML
135
226
0
23 May 2019
Model Compression with Adversarial Robustness: A Unified Optimization Framework
Neural Information Processing Systems (NeurIPS), 2025
Shupeng Gui
Haotao Wang
Chen Yu
Haichuan Yang
Zhangyang Wang
Ji Liu
MQ
156
142
0
10 Feb 2019
Sitatapatra: Blocking the Transfer of Adversarial Samples
Ilia Shumailov
Xitong Gao
Yiren Zhao
Robert D. Mullins
Ross J. Anderson
Chengzhong Xu
AAML
GAN
100
15
0
23 Jan 2019
The Taboo Trap: Behavioural Detection of Adversarial Samples
Ilia Shumailov
Yiren Zhao
Robert D. Mullins
Ross J. Anderson
AAML
78
15
0
18 Nov 2018
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