Results 111 to 120 of about 107,198 (316)
Advanced Energy Materials, EarlyView.Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Algebraic adversarial attacks on explainability models
Machine Learning. EngineeringClassical adversarial attacks are phrased as a constrained optimisation problem. Despite the efficacy of a constrained optimisation approach to adversarial attacks, one cannot trace how an adversarial point was generated.
Lachlan Simpson +5 more
doaj +1 more source
CoRRWe study a variant of the synchronization game on finite deterministic automata. In this game, Alice chooses one input letter of an automaton $A$ on each of her moves while Bob may respond with an arbitrary finite word over the input alphabet of $A$; Alice wins if the word obtained by interleaving her letters with Bob's responses resets $A$.
Anton E. Lipin, Mikhail V. Volkov 0001
openaire +2 more sources
GenDroid: A query-efficient black-box android adversarial attack framework
, 2023 The security problems of Android applications have been gradually exposed with the increasing popularity of the Android OS. Machine learning (ML) and deep learning (DL) based Android malware detection is still suffering from adversarial attacks, although
Hongfei Shao +17 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Increasing the Robustness of Image Quality Assessment Models Through Adversarial Training
TechnologiesThe adversarial robustness of image quality assessment (IQA) models to adversarial attacks is emerging as a critical issue. Adversarial training has been widely used to improve the robustness of neural networks to adversarial attacks, but little in-depth
Anna Chistyakova +6 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors
MathematicsAdaptive adversarial attacks, where adversaries tailor their strategies with full knowledge of defense mechanisms, pose significant challenges to the robustness of adversarial detectors. In this paper, we introduce RADAR (Robust Adversarial Detection via
Raz Lapid, Almog Dubin, Moshe Sipper
doaj +1 more source
, 2017 Author(s): Farber, DA; O'Connell, AJ | Abstract: Conflict between agencies and outsiders-whether private stakeholders, state governments, or Congress-is the primary focus of administrative law. But battles also rage within the administrative state: federal agencies, or actors within them, are the adversaries. Recent examples abound.
Farber, DA, O'Connell, AJ
openaire +3 more sources
The Optimal Amount of Falsfied Testimony [PDF]
An arbiter can decide a case on the basis of his priors or he can ask for further evidence from the two parties to the conflict. The parties may misrepresent evidence in their favor at a cost.
Winand Emons, Claude Fluet
core