Results 121 to 130 of about 543,217 (204)

Untargeted white-box adversarial attack to break into deep leaning based COVID-19 monitoring face mask detection system. [PDF]

Multimed Tools Appl, 2023
Sheikh BUH, Zafar A.
europepmc   +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

Adversarial Attacks on Data Attribution

CoRR
Accepted at the 13th International Conference on Learning Representations (ICLR 2025)
Xinhe Wang 0001, Pingbang Hu, Junwei Deng, Jiaqi W. Ma   +3 more
openaire   +4 more sources

Adversarial Attack and Defence through Adversarial Training and Feature Fusion for Diabetic Retinopathy Recognition. [PDF]

Sensors (Basel), 2021
Lal S, Rehman SU, Shah JH, Meraj T, Rauf HT, Damaševičius R, Mohammed MA, Abdulkareem KH.   +7 more
europepmc   +1 more source

Adversarial Risk Analysis: The Somali Pirates case [PDF]

, 2013
Some of the current world’s biggest problems revolve around security issues. This has raised recent interest in resource allocation models to manage security threats, from terrorism to organized crime through money laundering.
Ríos, Jesús, Ríos Insúa, David
core  

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  

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

Adversarial Attack Challenge for Secure Face Recognition 2025

Adversarial attacks pose a significant threat to the reliability of biometric systems, particularly in security-critical applications such as identity verification and access control.
Nicolas Göller, Avik Hati, João Tremoço, Niklas Bunzel, Monson Verghese, Miguel Lourenço, Shruti Bhilare, Andreia Costa, Iurii Medvedev, Nuno Gonçalves, Diogo Nunes, Lorenzo Pellegrini, Lukas Graner, Nuno Freitas, Nicolò Di Domenico, Guido Borghi   +15 more
core   +1 more source

ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks

Existing self-supervised adversarial training (self-AT) methods rely on hand-crafted adversarial attack strategies for PGD attacks, which fail to adapt to the evolving learning dynamics of the model and do not account for instance-specific ...
Saini, Rajkumar, Shah, Mubarak, Vashishtha, Gautam, Liwicki, Marcus, Chhipa, Prakash Chandra, Anantha sai Settur, Jithamanyu   +5 more
core   +1 more source

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