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1903.12561
Cited By
Adversarial Robustness vs Model Compression, or Both?
29 March 2019
Shaokai Ye
Kaidi Xu
Sijia Liu
Jan-Henrik Lambrechts
Huan Zhang
Aojun Zhou
Kaisheng Ma
Yanzhi Wang
Xue Lin
AAML
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Papers citing
"Adversarial Robustness vs Model Compression, or Both?"
31 / 31 papers shown
Title
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models
Yoojin Jung
Byung Cheol Song
AAML
VLM
MQ
36
0
0
07 Apr 2025
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
Yuchen Yang
Shubham Ugare
Yifan Zhao
Gagandeep Singh
Sasa Misailovic
MQ
26
0
0
31 Oct 2024
Is Adversarial Training with Compressed Datasets Effective?
Tong Chen
Raghavendra Selvan
AAML
52
0
0
08 Feb 2024
On the unreasonable vulnerability of transformers for image restoration -- and an easy fix
Shashank Agnihotri
Kanchana Vaishnavi Gandikota
Julia Grabinski
Paramanand Chandramouli
M. Keuper
32
9
0
25 Jul 2023
Robust low-rank training via approximate orthonormal constraints
Dayana Savostianova
Emanuele Zangrando
Gianluca Ceruti
Francesco Tudisco
24
9
0
02 Jun 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification
Omid Nejati Manzari
Hamid Ahmadabadi
Hossein Kashiani
S. B. Shokouhi
Ahmad Ayatollahi
ViT
MedIm
31
177
0
19 Feb 2023
BiBench: Benchmarking and Analyzing Network Binarization
Haotong Qin
Mingyuan Zhang
Yifu Ding
Aoyu Li
Zhongang Cai
Ziwei Liu
F. I. F. Richard Yu
Xianglong Liu
MQ
AAML
32
36
0
26 Jan 2023
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Shuren He
Bani Mallick
29
6
0
09 Jan 2023
Robust Lottery Tickets for Pre-trained Language Models
Rui Zheng
Rong Bao
Yuhao Zhou
Di Liang
Sirui Wang
Wei Yu Wu
Tao Gui
Qi Zhang
Xuanjing Huang
AAML
14
13
0
06 Nov 2022
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question Answering
Q. Si
Yuanxin Liu
Zheng Lin
Peng Fu
Weiping Wang
VLM
39
1
0
26 Oct 2022
Towards Global Neural Network Abstractions with Locally-Exact Reconstruction
Edoardo Manino
I. Bessa
Lucas C. Cordeiro
21
1
0
21 Oct 2022
Visual Prompting for Adversarial Robustness
Aochuan Chen
P. Lorenz
Yuguang Yao
Pin-Yu Chen
Sijia Liu
VLM
VPVLM
38
32
0
12 Oct 2022
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN
Huy Phan
Cong Shi
Yi Xie
Tian-Di Zhang
Zhuohang Li
Tianming Zhao
Jian-Dong Liu
Yan Wang
Ying Chen
Bo Yuan
AAML
32
6
0
22 Aug 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
24
118
0
29 May 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen
Zhenyu (Allen) Zhang
Pengju Wang
Santosh Balachandra
Haoyu Ma
Zehao Wang
Zhangyang Wang
OOD
AAML
82
46
0
20 Feb 2022
Finding Dynamics Preserving Adversarial Winning Tickets
Xupeng Shi
Pengfei Zheng
Adam Ding
Yuan Gao
Weizhong Zhang
AAML
21
1
0
14 Feb 2022
Robust Binary Models by Pruning Randomly-initialized Networks
Chen Liu
Ziqi Zhao
Sabine Süsstrunk
Mathieu Salzmann
TPM
AAML
MQ
26
4
0
03 Feb 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
24
0
0
27 Dec 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
Muhammad Awais
Fengwei Zhou
Chuanlong Xie
Jiawei Li
Sung-Ho Bae
Zhenguo Li
AAML
37
17
0
09 Nov 2021
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
Hassan Dbouk
Naresh R Shanbhag
AAML
21
7
0
28 Oct 2021
Neural network relief: a pruning algorithm based on neural activity
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
46
10
0
22 Sep 2021
Robust Predictable Control
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
24
44
0
07 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
LAFEAT: Piercing Through Adversarial Defenses with Latent Features
Yunrui Yu
Xitong Gao
Chengzhong Xu
AAML
FedML
27
44
0
19 Apr 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
40
71
0
04 Mar 2021
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
Chen Liu
Mathieu Salzmann
Tao R. Lin
Ryota Tomioka
Sabine Süsstrunk
AAML
19
81
0
15 Jun 2020
Defending against Backdoor Attack on Deep Neural Networks
Kaidi Xu
Sijia Liu
Pin-Yu Chen
Pu Zhao
X. Lin
Xue Lin
AAML
21
47
0
26 Feb 2020
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness
Adnan Siraj Rakin
Zhezhi He
Li Yang
Yanzhi Wang
Liqiang Wang
Deliang Fan
AAML
32
21
0
30 May 2019
Interpreting Adversarial Examples by Activation Promotion and Suppression
Kaidi Xu
Sijia Liu
Gaoyuan Zhang
Mengshu Sun
Pu Zhao
Quanfu Fan
Chuang Gan
X. Lin
AAML
FAtt
18
43
0
03 Apr 2019
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
295
10,618
0
19 Feb 2017
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,110
0
04 Nov 2016
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