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CausalAdv: Adversarial Robustness through the Lens of Causality

CausalAdv: Adversarial Robustness through the Lens of Causality

11 June 2021
Yonggang Zhang
Mingming Gong
Tongliang Liu
Gang Niu
Xinmei Tian
Bo Han
Bernhard Schölkopf
Kun Zhang
    OOD
    AAML
    CML
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Papers citing "CausalAdv: Adversarial Robustness through the Lens of Causality"

12 / 12 papers shown
Title
Causality-Driven Neural Network Repair: Challenges and Opportunities
Causality-Driven Neural Network Repair: Challenges and Opportunities
Fatemeh Vares
Brittany Johnson
AAML
52
0
0
24 Apr 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
34
0
0
14 Mar 2025
Generalizable Prompt Learning of CLIP: A Brief Overview
Generalizable Prompt Learning of CLIP: A Brief Overview
Fangming Cui
Yonggang Zhang
Xuan Wang
Xule Wang
Liang Xiao
VPVLM
VLM
155
0
0
03 Mar 2025
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
Wei Chen
Zhen Huang
Liang Xie
Binbin Lin
Houqiang Li
...
Deng Cai
Yonggang Zhang
Wenxiao Wang
Xu Shen
Jieping Ye
51
6
0
03 Sep 2024
Advancing Prompt Learning through an External Layer
Advancing Prompt Learning through an External Layer
Fangming Cui
Xun Yang
Chao Wu
Liang Xiao
Xinmei Tian
VLM
38
1
0
29 Jul 2024
Spurious Correlations and Where to Find Them
Spurious Correlations and Where to Find Them
Gautam Sreekumar
Vishnu Naresh Boddeti
CML
20
3
0
21 Aug 2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Jiahua Dong
Wenqi Liang
Yang Cong
Gan Sun
CLL
26
19
0
07 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training
Doubly Robust Instance-Reweighted Adversarial Training
Daouda Sow
Sen-Fon Lin
Zhangyang Wang
Yitao Liang
AAML
OOD
33
2
0
01 Aug 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious
  Correlation
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
27
18
0
15 Jul 2023
Hard Sample Matters a Lot in Zero-Shot Quantization
Hard Sample Matters a Lot in Zero-Shot Quantization
Huantong Li
Xiangmiao Wu
Fanbing Lv
Daihai Liao
Thomas H. Li
Yonggang Zhang
Bo Han
Mingkui Tan
MQ
24
20
0
24 Mar 2023
On the Role of Generalization in Transferability of Adversarial Examples
On the Role of Generalization in Transferability of Adversarial Examples
Yilin Wang
Farzan Farnia
AAML
24
10
0
18 Jun 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1