ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2204.02735
  4. Cited By
Distilling Robust and Non-Robust Features in Adversarial Examples by
  Information Bottleneck

Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck

6 April 2022
Junho Kim
Byung-Kwan Lee
Yong Man Ro
    AAML
ArXiv (abs)PDFHTML

Papers citing "Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck"

28 / 28 papers shown
Title
Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores
Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores
Hyunsik Na
Wonho Lee
Seungdeok Roh
Sohee Park
Daeseon Choi
AAML
42
0
0
13 May 2025
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
99
0
0
14 Mar 2025
Robust Feature Learning for Multi-Index Models in High Dimensions
Robust Feature Learning for Multi-Index Models in High Dimensions
Alireza Mousavi-Hosseini
Adel Javanmard
Murat A. Erdogdu
OODAAML
170
1
0
21 Oct 2024
Golyadkin's Torment: Doppelgängers and Adversarial Vulnerability
Golyadkin's Torment: Doppelgängers and Adversarial Vulnerability
George I. Kamberov
AAML
66
0
0
17 Oct 2024
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Binghui Li
Yuanzhi Li
OOD
94
4
0
11 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
VLMLRM
97
7
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
111
7
0
18 Jun 2024
DifAttack++: Query-Efficient Black-Box Adversarial Attack via
  Hierarchical Disentangled Feature Space in Cross-Domain
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain
Jun Liu
Jiantao Zhou
Jiandian Zeng
Jinyu Tian
Zheng Li
82
0
0
05 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
MLLMLRM
142
21
0
24 May 2024
Subspace Defense: Discarding Adversarial Perturbations by Learning a
  Subspace for Clean Signals
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals
Rui Zheng
Yuhao Zhou
Zhiheng Xi
Tao Gui
Qi Zhang
Xuanjing Huang
AAML
77
0
0
24 Mar 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
MLLMVLM
133
23
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
VLMMLLM
105
18
0
17 Feb 2024
Theoretical Understanding of Learning from Adversarial Perturbations
Theoretical Understanding of Learning from Adversarial Perturbations
Soichiro Kumano
Hiroshi Kera
Toshihiko Yamasaki
AAML
96
3
0
16 Feb 2024
DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature
  Space
DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space
Liu Jun
Jiantao Zhou
Jiandian Zeng
Jinyu Tian
62
1
0
26 Sep 2023
Exploring Robust Features for Improving Adversarial Robustness
Exploring Robust Features for Improving Adversarial Robustness
Hong Wang
Yuefan Deng
Shinjae Yoo
Yuewei Lin
AAML
98
4
0
09 Sep 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
95
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
60
4
0
27 Jun 2023
A Unified Framework of Graph Information Bottleneck for Robustness and
  Membership Privacy
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy
Enyan Dai
Limeng Cui
Zhengyang Wang
Xianfeng Tang
Yinghan Wang
Mo Cheng
Bin Yin
Suhang Wang
AAML
99
16
0
14 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
CMLAAML
91
18
0
02 Mar 2023
IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness
IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness
Xiaoyun Xu
Guilherme Perin
S. Picek
AAML
80
1
0
09 Feb 2023
Disentangled Generation with Information Bottleneck for Few-Shot
  Learning
Disentangled Generation with Information Bottleneck for Few-Shot Learning
Zhuohang Dang
Jihong Wang
Minnan Luo
Chengyou Jia
Caixia Yan
Qinghua Zheng
73
1
0
29 Nov 2022
Disentangled Text Representation Learning with Information-Theoretic
  Perspective for Adversarial Robustness
Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial Robustness
Jiahao Zhao
Wenji Mao
DRLOOD
61
3
0
26 Oct 2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep
  Neural Network
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network
Hua Hua
Jun Yan
Xi Fang
Weiquan Huang
Huilin Yin
Wancheng Ge
AAML
63
1
0
25 Oct 2022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
Nikolaos Tsilivis
Julia Kempe
AAML
98
20
0
11 Oct 2022
Meet You Halfway: Explaining Deep Learning Mysteries
Meet You Halfway: Explaining Deep Learning Mysteries
Oriel BenShmuel
AAMLFedMLFAttOOD
54
0
0
09 Jun 2022
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and
  Sparse Network
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network
Byung-Kwan Lee
Junho Kim
Y. Ro
AAML
52
20
0
06 Apr 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
Xilie Xu
Jingfeng Zhang
Feng Liu
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
58
2
0
07 Feb 2022
Can Adversarial Training Be Manipulated By Non-Robust Features?
Can Adversarial Training Be Manipulated By Non-Robust Features?
Lue Tao
Lei Feng
Hongxin Wei
Jinfeng Yi
Sheng-Jun Huang
Songcan Chen
AAML
257
17
0
31 Jan 2022
1