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Improving Certified Robustness via Statistical Learning with Logical
  Reasoning
v1v2v3v4v5v6v7v8v9 (latest)

Improving Certified Robustness via Statistical Learning with Logical Reasoning

Neural Information Processing Systems (NeurIPS), 2020
28 February 2020
Zhuolin Yang
Zhikuan Zhao
Wei Ping
Jiawei Zhang
Linyi Li
Hengzhi Pei
Bojan Karlas
Ji Liu
Heng Guo
Ce Zhang
Yue Liu
    AAML
ArXiv (abs)PDFHTML

Papers citing "Improving Certified Robustness via Statistical Learning with Logical Reasoning"

5 / 5 papers shown
Title
Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
Weixin Chen
Han Zhao
AAML
93
0
0
24 Sep 2025
CAUSAL3D: A Comprehensive Benchmark for Causal Learning from Visual Data
CAUSAL3D: A Comprehensive Benchmark for Causal Learning from Visual Data
Disheng Liu
Yiran Qiao
Wuche Liu
Yiren Lu
Yunlai Zhou
Tuo Liang
Yu Yin
Jing Ma
CML3DV
409
4
0
06 Mar 2025
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
J.N. Zhang
Xuan Yang
Tianfu Wang
Yu Yao
Aleksandr Petiushko
B. Li
398
8
0
28 Feb 2025
Improving deep learning with prior knowledge and cognitive models: A
  survey on enhancing explainability, adversarial robustness and zero-shot
  learning
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learningCognitive Systems Research (Cogn. Syst. Res.), 2023
F. Mumuni
A. Mumuni
AAML
258
16
0
11 Mar 2024
LOT: Layer-wise Orthogonal Training on Improving $\ell_2$ Certified
  Robustness
LOT: Layer-wise Orthogonal Training on Improving ℓ2\ell_2ℓ2​ Certified RobustnessNeural Information Processing Systems (NeurIPS), 2022
Xiaojun Xu
Linyi Li
Yue Liu
OODAAML
204
36
0
20 Oct 2022
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