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Certified Robust Neural Networks: Generalization and Corruption
  Resistance

Certified Robust Neural Networks: Generalization and Corruption Resistance

3 March 2023
Amine Bennouna
Ryan Lucas
Bart P. G. Van Parys
ArXivPDFHTML

Papers citing "Certified Robust Neural Networks: Generalization and Corruption Resistance"

13 / 13 papers shown
Title
HiQ-Lip: The First Quantum-Classical Hierarchical Method for Global Lipschitz Constant Estimation of ReLU Networks
HiQ-Lip: The First Quantum-Classical Hierarchical Method for Global Lipschitz Constant Estimation of ReLU Networks
Haoqi He
Yan Xiao
36
0
0
20 Mar 2025
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization
Shuang Liu
Yihan Wang
Yifan Zhu
Yibo Miao
Xiao-Shan Gao
53
0
0
06 Mar 2025
Universal generalization guarantees for Wasserstein distributionally robust models
Universal generalization guarantees for Wasserstein distributionally robust models
Tam Le
Jérome Malick
OOD
35
1
0
28 Jan 2025
Distributionally and Adversarially Robust Logistic Regression via
  Intersecting Wasserstein Balls
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls
Aras Selvi
Eleonora Kreacic
Mohsen Ghassemi
Vamsi K. Potluru
T. Balch
Manuela Veloso
16
0
0
18 Jul 2024
Robust Distribution Learning with Local and Global Adversarial
  Corruptions
Robust Distribution Learning with Local and Global Adversarial Corruptions
Sloan Nietert
Ziv Goldfeld
Soroosh Shafiee
OOD
23
0
0
10 Jun 2024
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Lijia Yu
Shuang Liu
Yibo Miao
Xiao-Shan Gao
Lijun Zhang
AAML
27
5
0
02 Jun 2024
Towards Fairness-Aware Adversarial Learning
Towards Fairness-Aware Adversarial Learning
Yanghao Zhang
Tianle Zhang
Ronghui Mu
Xiaowei Huang
Wenjie Ruan
21
4
0
27 Feb 2024
On robust overfitting: adversarial training induced distribution matters
On robust overfitting: adversarial training induced distribution matters
Runzhi Tian
Yongyi Mao
OOD
22
1
0
28 Nov 2023
Outlier-Robust Wasserstein DRO
Outlier-Robust Wasserstein DRO
Sloan Nietert
Ziv Goldfeld
Soroosh Shafiee
21
9
0
09 Nov 2023
Holistic Robust Data-Driven Decisions
Holistic Robust Data-Driven Decisions
Amine Bennouna
Bart P. G. Van Parys
Ryan Lucas
OOD
25
21
0
19 Jul 2022
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
B. Wen
Qian Wang
AAML
71
467
0
02 Feb 2021
Adversarial Vertex Mixup: Toward Better Adversarially Robust
  Generalization
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
Saehyung Lee
Hyungyu Lee
Sungroh Yoon
AAML
151
113
0
05 Mar 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
222
1,818
0
03 Feb 2017
1