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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

2 March 2023
Junho Kim
Byung-Kwan Lee
Yonghyun Ro
    CML
    AAML
ArXivPDFHTML

Papers citing "Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression"

15 / 15 papers shown
Title
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
Lilin Zhang
Chengpei Wu
Ning Yang
39
0
0
14 Mar 2025
Image Quality Assessment: Investigating Causal Perceptual Effects with
  Abductive Counterfactual Inference
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference
Wenhao Shen
Mingliang Zhou
Yu Chen
Xuekai Wei
Jun Luo
Huayan Pu
Weijia Jia
CML
89
0
0
22 Dec 2024
Sustainable Self-evolution Adversarial Training
Sustainable Self-evolution Adversarial Training
Wenxuan Wang
Chenglei Wang
Huihui Qi
Menghao Ye
Xuelin Qian
Peng Wang
Yanning Zhang
AAML
71
0
0
03 Dec 2024
Intriguing Properties of Large Language and Vision Models
Intriguing Properties of Large Language and Vision Models
Young-Jun Lee
ByungSoo Ko
Han-Gyu Kim
Yechan Hwang
Ho-Jin Choi
LRM
VLM
43
0
0
07 Oct 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
44
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
32
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
41
18
0
24 May 2024
Causal Perception Inspired Representation Learning for Trustworthy Image
  Quality Assessment
Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment
Lei Wang
Desen Yuan
AAML
OOD
33
1
0
30 Apr 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
32
16
0
17 Feb 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey
  and the Open Libraries Behind Them
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them
Chao-Jung Liu
Boxi Chen
Wei Shao
Chris Zhang
Kelvin Wong
Yi Zhang
29
3
0
22 Jan 2024
Causal Unsupervised Semantic Segmentation
Causal Unsupervised Semantic Segmentation
Junho Kim
Byung-Kwan Lee
Yonghyun Ro
33
18
0
11 Oct 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
18
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
28
3
0
27 Jun 2023
Discovering and Explaining the Representation Bottleneck of DNNs
Discovering and Explaining the Representation Bottleneck of DNNs
Huiqi Deng
Qihan Ren
Hao Zhang
Quanshi Zhang
39
59
0
11 Nov 2021
1