Results 131 to 140 of about 505,564 (200)

An improved genetic algorithm and its application in neural network adversarial attack. [PDF]

PLoS One, 2022
Yang D, Yu Z, Yuan H, Cui Y.
europepmc   +1 more source

SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction [PDF]

Trajectory prediction is critical for the safe planning and navigation of automated vehicles. The trajectory prediction models based on the neural networks are vulnerable to adversarial attacks.
Yin, Huilin, Li, Jiaxiang, Zhen, Pengju, Yan, Jun   +3 more
core   +1 more source

How Resilient Are Deep Learning Models in Medical Image Analysis? The Case of the Moment-Based Adversarial Attack (Mb-AdA). [PDF]

Biomedicines, 2022
Maliamanis TV, Apostolidis KD, Papakostas GA.   +2 more
europepmc   +1 more source

SAIF: Sparse Adversarial and Imperceptible Attack Framework

, 2023
Adversarial attacks hamper the decision-making ability of neural networks by perturbing the input signal. The addition of calculated small distortion to images, for instance, can deceive a well-trained image classification network.
Imtiaz, Tooba, Camps, Octavia, Sznaier, Mario, Kohler, Morgan, Dy, Jennifer, Wang, Zifeng, Miller, Jared   +6 more
core  

A knowledge distillation strategy for enhancing the adversarial robustness of lightweight automatic modulation classification models

IET Communications
Automatic modulation classification models based on deep learning models are at risk of being interfered by adversarial attacks. In an adversarial attack, the attacker causes the classification model to misclassify the received signal by adding carefully
Fanghao Xu, Chao Wang, Jiakai Liang, Chenyang Zuo, Keqiang Yue, Wenjun Li   +5 more
doaj   +1 more source

Adaptive Perturbation for Adversarial Attack [PDF]

In recent years, the security of deep learning models achieves more and more attentions with the rapid development of neural networks, which are vulnerable to adversarial examples.
Shan, Shiguang, Yuan, Zheng, Li, Liangliang, Zhang, Jie, Jiang, Zhaoyan   +4 more
core  

Thundernna: a white box adversarial attack [PDF]

The existing work shows that the neural network trained by naive gradient-based optimization method is prone to adversarial attacks, adds small malicious on the ordinary input is enough to make the neural network wrong.
Ye, Linfeng, Hamidi, Shayan Mohajer
core   +1 more source

Adversarial scheduling analysis of Game-Theoretic Models of Norm Diffusion. [PDF]

In (Istrate et al. SODA 2001) we advocated the investigation of robustness of results in the theory of learning in games under adversarial scheduling models.
Istrate, Gabriel, Marathe, Madhav V., Ravi, S.S.   +2 more
core  

Deep learning models for electrocardiograms are susceptible to adversarial attack. [PDF]

Nat Med, 2020
Han X, Hu Y, Foschini L, Chinitz L, Jankelson L, Ranganath R.   +5 more
europepmc   +1 more source

tsubasa512/ADM_Adversarial_attack: ADM adversarial attack

<p>Adaptive Deformation Method (ADM) is an adversarial attack against the one stage object detection in ORSIs</p ...
tsubasa512
core   +1 more source