Results 101 to 110 of about 9,816 (301)

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

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

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

Phase-shifted Adversarial Training

, 2023
Adversarial training has been considered an imperative component for safely deploying neural network-based applications to the real world. To achieve stronger robustness, existing methods primarily focus on how to generate strong attacks by increasing ...
Seo, Ihyeok, Shin, Bonggun, Kim, Yeachan, Kim, Seongyeon   +3 more
core   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 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

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

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