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2002.11798
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Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
International Conference on Machine Learning (ICML), 2020
26 February 2020
Sicheng Zhu
Xiao Zhang
David Evans
SSL
OOD
Re-assign community
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Papers citing
"Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization"
10 / 10 papers shown
Measure-Theoretic Anti-Causal Representation Learning
Arman Behnam
Binghui Wang
OOD
CML
263
0
0
16 Oct 2025
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
International Conference on Machine Learning (ICML), 2022
Bao Gia Doan
Ehsan Abbasnejad
Javen Qinfeng Shi
Damith Ranashinghe
AAML
OOD
369
8
0
05 Dec 2022
Improving Adversarial Robustness via Mutual Information Estimation
International Conference on Machine Learning (ICML), 2022
Dawei Zhou
Nannan Wang
Xinbo Gao
Bo Han
Xiaoyu Wang
Yibing Zhan
Tongliang Liu
AAML
172
23
0
25 Jul 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Jihong Wang
Minnan Luo
Jundong Li
Ziqi Liu
Jun Zhou
Qinghua Zheng
AAML
230
10
0
21 Jan 2022
Adversarial Examples can be Effective Data Augmentation for Unsupervised Machine Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
Chia-Yi Hsu
Pin-Yu Chen
Songtao Lu
Sijia Liu
Chia-Mu Yu
AAML
296
13
0
02 Mar 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
Neural Information Processing Systems (NeurIPS), 2021
Lue Tao
Lei Feng
Jinfeng Yi
Sheng-Jun Huang
Songcan Chen
AAML
555
84
0
09 Feb 2021
Unsupervised Adversarially-Robust Representation Learning on Graphs
AAAI Conference on Artificial Intelligence (AAAI), 2020
Jiarong Xu
Yang Yang
Junru Chen
Chunping Wang
Xin Jiang
Jiangang Lu
Luke Huan
SSL
AAML
OOD
507
44
0
04 Dec 2020
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
International Conference on Learning Representations (ICLR), 2020
Wei Ping
Shuohang Wang
Yu Cheng
Zhe Gan
R. Jia
Yue Liu
Jingjing Liu
AAML
632
131
0
05 Oct 2020
Adversarial Feature Desensitization
P. Bashivan
Reza Bayat
Adam Ibrahim
Kartik Ahuja
Mojtaba Faramarzi
Touraj Laleh
Blake A. Richards
Irina Rish
AAML
347
22
0
08 Jun 2020
Learning Certified Individually Fair Representations
Neural Information Processing Systems (NeurIPS), 2020
Anian Ruoss
Mislav Balunović
Marc Fischer
Martin Vechev
FaML
328
106
0
24 Feb 2020
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