Results 81 to 90 of about 107,198 (316)

JUICIO DE ACUSACIÓN, IMPARCIALIDAD DEL ACUSADOR Y DERECHO DE DEFENSA

Ius et Praxis, 2007
En unión de la tendencia a garantizar la imparcialidad judicial, encomendando la investigación de los delitos al fiscal, surgen dos cuestiones importantes:a) cómo se garantiza la imparcialidad del órgano acusador a la hora de efectuar el juicio de ...
Teresa Armenta Deu
doaj  

Adversarial queuing theory [PDF]

Journal of the ACM, 1996
We consider packet routing when packets are injected continuously into a network. We develop an adversarial theory of queuing aimed at addressing some of the restrictions inherent in probabilistic analysis and queuing theory based on time-invariant stochastic generation. We examine the stability of queuing networks and policies when the arrival process
Allan Borodin, Jon M. Kleinberg, Prabhakar Raghavan, Madhu Sudan 0001, David P. Williamson   +4 more
openaire   +1 more source

Evaluating Membership Inference Through Adversarial Robustness

, 2022
The usage of deep learning is being escalated in many applications. Due to its outstanding performance, it is being used in a variety of security and privacy-sensitive areas in addition to conventional applications.
Hu, Shengshan, Abbasi, Bilal Hussain, Zheng, Xufei, Zhang, Zhaoxi, Zhang, Leo Yu   +4 more
core   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Benign-salient Region Based End-to-End Adversarial Malware Generation Method [PDF]

Jisuanji kexue
Malware detection methods combining visualization techniques and deep learning have gained widespread attention due to their high accuracy and low cost.However,deep learning models are vulnerable to adversarial attacks,where intentional small-scale ...
YUAN Mengjiao, LU Tianliang, HUANG Wanxin, HE Houhan
doaj   +1 more source

Adversarial Patch

CoRR, 2017
We present a method to create universal, robust, targeted adversarial image patches in the real world. The patches are universal because they can be used to attack any scene, robust because they work under a wide variety of transformations, and targeted because they can cause a classifier to output any target class.
Tom B. Brown, Dandelion Mané, Aurko Roy, Martín Abadi, Justin Gilmer   +4 more
openaire   +2 more sources

Repairing Adversarial Texts Through Perturbation

, 2022
It is known that neural networks are subject to attacks through adversarial perturbations. Worse yet, such attacks are impossible to eliminate, i.e., the adversarial perturbation is still possible after applying mitigation methods such as adversarial ...
Dong, G, Wang, X, Chattopadhyay, S, Wang, J, Dai, T, Dong, JS, Shi, J, Sun, J   +7 more
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

Advanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng, Xinlei Huang, Xiang Zhou, Dian Meng, Ziyue Qiao, Zhiyuan Yuan, Lixin Cheng   +6 more
wiley   +1 more source

oswaldoludwig/Adversarial-Learning-for-Generative-Conversational-Agents: Adversarial Learning for Generative Conversational Agents

, 2017
<p>This repository presents a new adversarial learning method for generative conversational agents (GCA) besides a new model of GCA. Our method assumes the GCA as a generator that aims at fooling a discriminator that labels dialogues as human ...
Oswaldo Ludwig
core   +1 more source