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2103.07364
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A Unified Game-Theoretic Interpretation of Adversarial Robustness
12 March 2021
Jie Ren
Die Zhang
Yisen Wang
Lu Chen
Zhanpeng Zhou
Yiting Chen
Xu Cheng
Xin Wang
Meng Zhou
Jie Shi
Quanshi Zhang
AAML
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Papers citing
"A Unified Game-Theoretic Interpretation of Adversarial Robustness"
18 / 18 papers shown
Title
Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View
Jin Wang
Shichao Dong
Yapeng Zhu
Kelu Yao
Weidong Zhao
Chao Li
Ping Luo
CoGe
LRM
48
2
0
27 May 2024
Two-Phase Dynamics of Interactions Explains the Starting Point of a DNN Learning Over-Fitted Features
Junpeng Zhang
Qing Li
Liang Lin
Quanshi Zhang
AI4CE
35
5
0
16 May 2024
The Adaptive Arms Race: Redefining Robustness in AI Security
Ilias Tsingenopoulos
Vera Rimmer
Davy Preuveneers
Fabio Pierazzi
Lorenzo Cavallaro
Wouter Joosen
AAML
72
0
0
20 Dec 2023
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective
Yifei Wang
Liangchen Li
Jiansheng Yang
Zhouchen Lin
Yisen Wang
25
11
0
30 Oct 2023
Adversarial Examples Are Not Real Features
Ang Li
Yifei Wang
Yiwen Guo
Yisen Wang
20
11
0
29 Oct 2023
Understanding Data Augmentation from a Robustness Perspective
Zhendong Liu
Jie Zhang
Qiangqiang He
Chongjun Wang
AAML
21
1
0
07 Sep 2023
G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory
Hongxiang Li
Meng Cao
Xuxin Cheng
Yaowei Li
Zhihong Zhu
Yuexian Zou
24
20
0
26 Jul 2023
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts
Qihan Ren
Huiqi Deng
Yunuo Chen
Siyu Lou
Quanshi Zhang
BDL
AAML
25
10
0
25 Feb 2023
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization
Shiji Xin
Yifei Wang
Jingtong Su
Yisen Wang
OOD
21
7
0
18 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation
Zhendong Liu
Wenyu Jiang
Min Guo
Chongjun Wang
AAML
21
1
0
08 Dec 2022
Fine-Grained Semantically Aligned Vision-Language Pre-Training
Juncheng Li
Xin He
Longhui Wei
Long Qian
Linchao Zhu
Lingxi Xie
Yueting Zhuang
Qi Tian
Siliang Tang
VLM
30
79
0
04 Aug 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models
Liu Zhendong
Wenyu Jiang
Yan Zhang
Chongjun Wang
CML
6
0
0
22 Jun 2022
Defensive Patches for Robust Recognition in the Physical World
Jiakai Wang
Zixin Yin
Pengfei Hu
Aishan Liu
Renshuai Tao
Haotong Qin
Xianglong Liu
Dacheng Tao
AAML
19
29
0
13 Apr 2022
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons
Haibo Jin
Ruoxi Chen
Haibin Zheng
Jinyin Chen
Yao Cheng
Yue Yu
Xianglong Liu
AAML
25
6
0
12 Feb 2022
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
194
345
0
15 Dec 2021
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
185
302
0
21 May 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,103
0
02 Dec 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,835
0
08 Jul 2016
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