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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
Feng He
Xin Eric Wang
Meng Zhou
Jie Shi
Quanshi Zhang
AAML
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Papers citing
"A Unified Game-Theoretic Interpretation of Adversarial Robustness"
14 / 14 papers shown
Title
INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling
Xin Dong
S. Dong
Jin Wang
Jing Huang
Li Zhou
Zenghui Sun
Lihua Jing
Jingsong Lan
Xiaoyong Zhu
Bo Zheng
MLLM
216
3
0
07 Jul 2025
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
233
5
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
346
6
0
16 May 2024
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective
Neural Information Processing Systems (NeurIPS), 2023
Yifei Wang
Liangchen Li
Jiansheng Yang
Zhouchen Lin
Yisen Wang
232
19
0
30 Oct 2023
Adversarial Examples Are Not Real Features
Neural Information Processing Systems (NeurIPS), 2023
Ang Li
Yifei Wang
Yiwen Guo
Yisen Wang
504
17
0
29 Oct 2023
Understanding Data Augmentation from a Robustness Perspective
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Zhendong Liu
Jie Zhang
Qiangqiang He
Chongjun Wang
AAML
193
3
0
07 Sep 2023
G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory
IEEE International Conference on Computer Vision (ICCV), 2023
Hongxiang Li
Meng Cao
Xuxin Cheng
Yaowei Li
Zhihong Zhu
Yuexian Zou
288
28
0
26 Jul 2023
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts
International Conference on Machine Learning (ICML), 2023
Qihan Ren
Huiqi Deng
Yunuo Chen
Siyu Lou
Quanshi Zhang
BDL
AAML
239
12
0
25 Feb 2023
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization
AAAI Conference on Artificial Intelligence (AAAI), 2022
Shiji Xin
Yifei Wang
Jingtong Su
Yisen Wang
OOD
176
11
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
203
1
0
08 Dec 2022
Fine-Grained Semantically Aligned Vision-Language Pre-Training
Neural Information Processing Systems (NeurIPS), 2022
Juncheng Li
Xin He
Longhui Wei
Long Qian
Linchao Zhu
Lingxi Xie
Yueting Zhuang
Qi Tian
Siliang Tang
VLM
181
97
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
144
0
0
22 Jun 2022
Defensive Patches for Robust Recognition in the Physical World
Computer Vision and Pattern Recognition (CVPR), 2022
Jinyang Guo
Zixin Yin
Pengfei Hu
Aishan Liu
Renshuai Tao
Haotong Qin
Xianglong Liu
Dacheng Tao
AAML
151
33
0
13 Apr 2022
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons
Information Sciences (Inf. Sci.), 2022
Haibo Jin
Ruoxi Chen
Haibin Zheng
Jinyin Chen
Yao Cheng
Yue Yu
Xianglong Liu
AAML
192
6
0
12 Feb 2022
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