Experimental demonstration of adversarial examples in learning topological phases. [PDF]
Nat Commun, 2022 Zhang H +9 more
europepmc +1 more source
Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting [PDF]
, 2021 Federico Nesti +2 more
openalex +1 more source
DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model. [PDF]
Front Neurorobot, 2023 Liu R +6 more
europepmc +1 more source
Crafting Adversarial Examples for Neural Machine Translation [PDF]
, 2021 Xinze Zhang +3 more
openalex +1 more source
A Universal Detection Method for Adversarial Examples and Fake Images. [PDF]
Sensors (Basel), 2022 Lai J, Huo Y, Hou R, Wang X.
europepmc +1 more source
Robust Text CAPTCHAs Using Adversarial Examples [PDF]
, 2021 Rulin Shao +4 more
openalex +1 more source
Surreptitious Adversarial Examples through Functioning QR Code. [PDF]
J Imaging, 2022 Chindaudom A +3 more
europepmc +1 more source
Компьютерная оптикаAdversarial examples, in the context of computer vision, are inputs deliberately crafted to deceive or mislead artificial neural networks. These examples exploit vulnerabilities in neural networks, resulting in minimal alterations to the original input ...
A.V. Trusov +2 more
doaj +1 more source
Detecting Audio Adversarial Examples in Automatic Speech Recognition Systems Using Decision Boundary Patterns. [PDF]
J Imaging, 2022 Zong W, Chow YW, Susilo W, Kim J, Le NT.
europepmc +1 more source
Universal adversarial examples and perturbations for quantum classifiers. [PDF]
Natl Sci Rev, 2022 Gong W, Deng DL.
europepmc +1 more source