Results 251 to 260 of about 86,248 (260)

Adversarial robustness and attacks for multi-view deep models

Engineering Applications of Artificial Intelligence, 2021
Shiliang Sun
exaly  

Toward Intrinsic Adversarial Robustness Through Probabilistic Training

IEEE Transactions on Image Processing, 2023
Junhao Dong, Yuan Wang, Xiaohua Xie
exaly  

Adversarial Robustness

Fengxiang He, Dacheng Tao
openaire   +1 more source

Boosting Adversarial Robustness through Channel Adversarial Distillation

2024 6th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)
Xiaolong Li, Yanming Guo, Chengsi Du, Dengjin Li, Jie Jiang, Mingrui Lao   +5 more
openaire   +1 more source

A Survey of Robustness and Safety of 2D and 3D Deep Learning Models against Adversarial Attacks

ACM Computing Surveys
Yanjie Li, Bin Xie, Songtao Guo
exaly  

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Takeru Miyato, Shin Ishii
exaly  

Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications

Artificial Intelligence Review
Tamer Abuhmed
exaly  

It Is All about Data: A Survey on the Effects of Data on Adversarial Robustness

ACM Computing Surveys
Peiyu, Michael Tegegn, Jaskeerat Singh Sarin   +2 more
exaly  

Mitigating Accuracy-Robustness Trade-Off via Balanced Multi-Teacher Adversarial Distillation

IEEE Transactions on Pattern Analysis and Machine Intelligence
shiji zhao, Xingxing Wei
exaly  

Adversarial Robustness of Neural Networks from the Perspective of Lipschitz Calculus: A Survey

ACM Computing Surveys
exaly