Results 81 to 90 of about 8,417 (262)

Exploring the uncertainty principle in neural networks through binary classification

Scientific Reports
Neural networks are reported to be vulnerable under minor and imperceptible attacks. The underlying mechanism and quantitative measure of the vulnerability still remains to be revealed.
Jun-Jie Zhang, Jian-Nan Chen, De-Yu Meng, Xiu-Cheng Wang   +3 more
doaj   +1 more source

Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples

Frontiers in Computational Neuroscience
Adversarial attacks are still a significant challenge for neural networks. Recent efforts have shown that adversarial perturbations typically contain high-frequency features, but the root cause of this phenomenon remains unknown.
Josue O. Caro, Yilong Ju, Yilong Ju, Ryan Pyle, Ryan Pyle, Sourav Dey, Wieland Brendel, Fabio Anselmi, Fabio Anselmi, Fabio Anselmi, Ankit B. Patel, Ankit B. Patel   +11 more
doaj   +1 more source

Zasada prawdy w polskim procesie karnym – uwagi na tle zmian k.p.k

Acta Iuris Stetinensis, 2016
The amendment to the Polish Code of Criminal Procedure (PCCP), which became effective as of 1 July 2015, had changed the model of the Polish criminal trial by opening it up to be more adversarial.
Jakub Michalski
doaj   +1 more source

DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation

2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
Distribution shifts and adversarial examples are two major challenges for deploying machine learning models. While these challenges have been studied individually, their combination is an important topic that remains relatively under-explored. In this work, we study the problem of adversarial robustness under a common setting of distribution shift ...
Yunjuan Wang, Hussein Hazimeh 0001, Natalia Ponomareva 0001, Alexey Kurakin, Ibrahim Hammoud, Raman Arora   +5 more
openaire   +2 more sources

A NEAT Approach to Evolving Neural‐Network‐Based Optimization of Chiral Photonic Metasurfaces: Application of a NeuroEvolution‐of‐Augmenting‐Topologies Pipeline

Advanced Intelligent Systems, EarlyView.
Neuro‐evolution can boost machine‐learning optimization of chiral metasurfaces. By integrating the NEAT algorithm into a deep‐learning framework, we enable the efficient design of visible‐spectrum chiroptical responses. NEAT autonomously evolves neural‐network architectures and weights, reducing manual tuning.
Davide Filippozzi, Arash Rahimi‐Iman
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Adversarial Principle within International Commercial Arbitration

Uzhhorod National University Herald. Series: Law
The effect of the adversarial principle within international commercial arbitration has been studied in the article. It has been noted that the ever-growing development of economic relations inextricably leads to an increase in disputes in the field of economic activity.
openaire   +3 more sources

THE ADVERSITY PRINCIPLE IN CRIMINAL PROCEDURE

Pravo, 2012
In criminal procedure, the cornerstone of the proceeding governing the establishment of crucial facts is the opportunity of the parties to present their arguments on the criminal matter at issue and to challenge the opponent’s arguments, which is the ...
Saša Knežević
doaj  

Adversarial process: urgent problems of modern Russian criminal proceedings

Правоприменение, 2019
The subject of the article is realization of adversarial process principle in Russian criminal proceedings.The purpose of the article is to disclose the list of systemic flaws in modern criminal justice. The hypothesis of the study is the thesis that the
Vyacheslav V. Koryakovtsev, Xenia V. Pitulko   +1 more
doaj   +1 more source

Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI

AI &Innovation, EarlyView.
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley   +1 more source