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Masking Adversarial Damage: Finding Adversarial Saliency for Robust and
  Sparse Network

Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network

6 April 2022
Byung-Kwan Lee
Junho Kim
Y. Ro
    AAML
ArXivPDFHTML

Papers citing "Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network"

13 / 13 papers shown
Title
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models
Yoojin Jung
Byung Cheol Song
AAML
VLM
MQ
41
0
0
07 Apr 2025
Lipschitz Constant Meets Condition Number: Learning Robust and Compact Deep Neural Networks
Lipschitz Constant Meets Condition Number: Learning Robust and Compact Deep Neural Networks
Yangqi Feng
S. J. Lin
Baoyuan Gao
Xian Wei
AAML
78
0
0
26 Mar 2025
Holistic Adversarially Robust Pruning
Holistic Adversarially Robust Pruning
Qi Zhao
Christian Wressnegger
93
8
0
19 Dec 2024
Phantom of Latent for Large Language and Vision Models
Phantom of Latent for Large Language and Vision Models
Byung-Kwan Lee
Sangyun Chung
Chae Won Kim
Beomchan Park
Yong Man Ro
VLM
LRM
47
6
0
23 Sep 2024
TroL: Traversal of Layers for Large Language and Vision Models
TroL: Traversal of Layers for Large Language and Vision Models
Byung-Kwan Lee
Sangyun Chung
Chae Won Kim
Beomchan Park
Yong Man Ro
45
6
0
18 Jun 2024
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision
  Models
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Byung-Kwan Lee
Chae Won Kim
Beomchan Park
Yonghyun Ro
MLLM
LRM
48
19
0
24 May 2024
MoAI: Mixture of All Intelligence for Large Language and Vision Models
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Byung-Kwan Lee
Beomchan Park
Chae Won Kim
Yonghyun Ro
MLLM
VLM
48
20
0
12 Mar 2024
CoLLaVO: Crayon Large Language and Vision mOdel
CoLLaVO: Crayon Large Language and Vision mOdel
Byung-Kwan Lee
Beomchan Park
Chae Won Kim
Yonghyun Ro
VLM
MLLM
44
16
0
17 Feb 2024
SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss
  Landscape
SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape
Hua Zheng
Kuang-Hung Liu
Igor Fedorov
Xin Zhang
Wen-Yen Chen
Wei Wen
48
1
0
22 Nov 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation
  by Adversarial Double Machine Learning
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning
Byung-Kwan Lee
Junho Kim
Yonghyun Ro
AAML
33
9
0
14 Jul 2023
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning
Hong Joo Lee
Yonghyun Ro
AAML
36
3
0
27 Jun 2023
Demystifying Causal Features on Adversarial Examples and Causal
  Inoculation for Robust Network by Adversarial Instrumental Variable
  Regression
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression
Junho Kim
Byung-Kwan Lee
Yonghyun Ro
CML
AAML
28
18
0
02 Mar 2023
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
298
3,113
0
04 Nov 2016
1