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2204.02735
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Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck
6 April 2022
Junho Kim
Byung-Kwan Lee
Yong Man Ro
AAML
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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
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
Lilin Zhang
Chengpei Wu
Ning Yang
99
0
0
14 Mar 2025
Robust Feature Learning for Multi-Index Models in High Dimensions
Alireza Mousavi-Hosseini
Adel Javanmard
Murat A. Erdogdu
OOD
AAML
170
1
0
21 Oct 2024
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
Binghui Li
Yuanzhi Li
OOD
94
4
0
11 Oct 2024
Phantom of Latent for Large Language and Vision Models
Byung-Kwan Lee
Sangyun Chung
Chae Won Kim
Beomchan Park
Yong Man Ro
VLM
LRM
97
7
0
23 Sep 2024
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
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
Byung-Kwan Lee
Chae Won Kim
Beomchan Park
Yonghyun Ro
MLLM
LRM
142
21
0
24 May 2024
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
Byung-Kwan Lee
Beomchan Park
Chae Won Kim
Yonghyun Ro
MLLM
VLM
133
23
0
12 Mar 2024
CoLLaVO: Crayon Large Language and Vision mOdel
Byung-Kwan Lee
Beomchan Park
Chae Won Kim
Yonghyun Ro
VLM
MLLM
103
18
0
17 Feb 2024
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
Liu Jun
Jiantao Zhou
Jiandian Zeng
Jinyu Tian
62
1
0
26 Sep 2023
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
Byung-Kwan Lee
Junho Kim
Yonghyun Ro
AAML
95
9
0
14 Jul 2023
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
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
Junho Kim
Byung-Kwan Lee
Yonghyun Ro
CML
AAML
91
18
0
02 Mar 2023
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
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
Jiahao Zhao
Wenji Mao
DRL
OOD
61
3
0
26 Oct 2022
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?
Nikolaos Tsilivis
Julia Kempe
AAML
98
20
0
11 Oct 2022
Meet You Halfway: Explaining Deep Learning Mysteries
Oriel BenShmuel
AAML
FedML
FAtt
OOD
54
0
0
09 Jun 2022
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
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?
Lue Tao
Lei Feng
Hongxin Wei
Jinfeng Yi
Sheng-Jun Huang
Songcan Chen
AAML
257
17
0
31 Jan 2022
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