Results 51 to 60 of about 3,276,744 (244)

Black-Box Reward Attacks Against Deep Reinforcement Learning Based on Successor Representation

IEEE Access, 2022
Although the deep reinforcement learning (DRL) technology has been widely adopted in various fields, it has become an important research hotspot to study the vulnerability of DRL for improving the robustness of DRL agents.
Kanting Cai, Xiangbin Zhu, Zhao-Long Hu
doaj   +1 more source

Association Between Motor Pathway Damage and Motor Deficit in Upper and Lower Limb in People With MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Corticospinal tract damage is common in people with MS, but the degree of clinical symptoms varies. We hypothesize that corticospinal tract lesions are more extensive and severe in people with MS with motor impairments in both upper and lower limbs.
Mathilde Liffran, Malo Gaubert, Alice Dufey, Elise Bannier, Audrey Rico, Jean‐Christophe Ferré, Raphaël Chouteau, Laure Michel, Emmanuelle Le Page, Virginie Callot, Bertrand Audoin, Sarah Demortière, Benoît Combès, Anne Kerbrat   +13 more
wiley   +1 more source

Distillation-Based Cross-Model Transferable Adversarial Attack for Remote Sensing Image Classification

Remote Sensing
Deep neural networks have achieved remarkable performance in remote sensing image (RSI) classification tasks. However, they remain vulnerable to adversarial attack.
Xiyu Peng, Jingyi Zhou, Xiaofeng Wu
doaj   +1 more source

Comprehensive Characterization of 98 Chinese Cases of Genetic Creutzfeldt‐Jakob Disease With T188K Mutation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterize the demographic, clinical, and laboratory features of the Chinese patients of genetic Creutzfeldt‐Jakob disease with T188K variant (T188K‐gCJD), the most common subtype of genetic prion diseases (gPrDs) in China. Methods In this nationwide retrospective study, data from 98 genetically confirmed T188K‐gCJD patients ...
Chun‐Jie Li, Dong‐Lin Liang, Li‐Ping Gao, Wei‐Wei Zhang, Wei Zhou, A. Ruhan, Bing Xu, Run‐Dong Cao, Kang Xiao, Cao Chen, Qi Shi, Xiao‐Ping Dong   +11 more
wiley   +1 more source

Distributed Black-box Attack: Do Not Overestimate Black-box Attacks [PDF]

Black-box adversarial attacks can fool image classifiers into misclassifying images without requiring access to model structure and weights. Recent studies have reported attack success rates of over 95% with less than 1,000 queries.
Wahlstrom, Johan, Wu, Han, Rowlands, Sareh   +2 more
core   +1 more source

Electroencephalographic Normalization as a Biomarker of Clinical Recovery in Down Syndrome Regression Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro, Mackenzie Silverman, Maeve C. Lucas, Mariam M. Yousuf, Samuel T. Otey, Stella V. Gray, Brittany Jordan, Madeline D. Kahan, Latanya D. Agurs, Michelle Van Hirtum Das, Deborah Holder, Devin King, Eileen A. Quinn, Ryan Kammeyer, Michael S. Rafii   +14 more
wiley   +1 more source

DBI-Attack:Dynamic Bi-Level Integrated Attack for Intensive Multi-Scale UAV Object Detection

Remote Sensing
Benefiting from the robust feature representation capability of convolutional neural networks (CNNs), the object detection technology of intelligent high-altitude UAV remote sensing has been developed rapidly. In this field, the adversarial examples (AEs)
Zhengyang Zhao, Buhong Wang, Zhen Wang, Xuan Yao   +3 more
doaj   +1 more source

Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment

IEEE Access, 2022
Resistance to differential cryptanalysis is a fundamental security requirement for symmetric block ciphers, and recently, deep learning has attracted the interest of cryptography experts, particularly in the field of block cipher cryptanalysis, where the
Zakaria Tolba, Makhlouf Derdour, Mohamed Amine Ferrag, S. M. Muyeen, Mohamed Benbouzid   +4 more
doaj   +1 more source

Neurologic Manifestations of Long COVID Affect Adult Females More Severely Than Males

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterize differences in neurologic manifestations of postacute sequelae of SARS‐CoV‐2 infection (Neuro‐PASC) between females and males. Methods Cross‐sectional study of the first consecutive 261 posthospitalization Neuro‐PASC (PNP) and 2068 nonhospitalized Neuro‐PASC (NNP) patients evaluated at the Neuro‐COVID clinic between ...
Hannah Kopinsky, Melissa Lopez, Janet Miller, Millenia Jimenez, Eric M. Liotta, Igor J. Koralnik   +5 more
wiley   +1 more source

Validation of a Cellular Imaging‐Based Method as a Potential Biomarker for SPG4 Hereditary Spastic Paraplegia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Hereditary Spastic Paraplegia (HSP) comprises a group of rare genetic diseases characterized by length‐dependent axonal degeneration of the corticospinal tracts and dorsal columns, whose main clinical feature is spastic gait. Pathogenic variants in the SPG4 gene cause Spastic Paraplegia Type 4 (SPG4‐HSP), the most common form of HSP.
Gaia Fattorini, Valerio Licursi, Gianmarco Dalla Zanna, Flavio Dal Canto, Melissa Barghigiani, Nunzio Setola, Salvatore Rossi, Antonio Funcis, Filippo M. Santorelli, Gabriella Silvestri, Carlo Casali, Francesca Sardina, Cinzia Rinaldo   +12 more
wiley   +1 more source