Results 121 to 130 of about 6,306,959 (200)

Toward Enhanced Adversarial Robustness Generalization in Object Detection: Feature Disentangled Domain Adaptation for Adversarial Training

IEEE Access
Recent research has shown that deep learning models are likely to make incorrect predictions even when exposed to minor perturbations. To address this, training models on adversarial examples, particularly through Adversarial Training (AT), has gained ...
Yoojin Jung, Byung Cheol Song
doaj   +1 more source

Federated learning with adversarial optimisation for secure and efficient 5G edge computing networks

With the evolution of 5G edge computing networks, privacy-aware applications are gaining significant attention due to their decentralised processing capabilities.
Jonathan White, Zafar, Saniya, Phil Legg, Saniya Zafar, White, Jonathan, Legg, Phil   +5 more
core   +1 more source

CONCURRENT ADVERSARIAL LEARNING FOR LARGE-BATCH TRAINING

, 2022
Large-batch training has become a widely used technique when training neural networks with a large number of GPU/TPU processors. As batch size increases, stochastic optimizers tend to converge to sharp local minima, leading to degraded test performance ...
Cheng, Minhao, Chen, Xiangning, Hsieh, Cho Jui, Liu, Yong, You, Yang   +4 more
core  

Adversarial Imitation Learning with Preferences

, 2023
Taranovic, Aleksandar, Kupcsik, Andras Gabor, Freymuth, Niklas, Neumann, Gerhard   +3 more
openaire   +3 more sources

Vulnerabilities in Maximum Entropy Inverse Reinforcement Learning under Adversarial Demonstrations

Reinforcement Learning (RL) has emerged as a powerful paradigm for solving complex sequential decision-making problems. However, its effectiveness is fundamentally dependent on the availability of a well-specified reward function, the design of which is ...
Alipanah, Arezoo
core  

The professional learning of Scotland’s Adult Educators

, 2018
First paragraph: Following the publication of Adult Learning in Scotland: Statement of Ambition in 2014, four national working groups were set up to take forward the Scottish Government’s vision to establish world leading adult learning in Scotland. This
Galloway, Sarah
core  

Deep generative models as an adversarial attack strategy for tabular machine learning

peer reviewedDeep Generative Models (DGMs) have found application in computer vision for generating adversarial examples to test the robustness of machine learning (ML) systems.
Giunchiglia, Eleonora, Cătălina Stoian, Mihaela, Cordy, Maxime, DYRMISHI, Salijona   +3 more
core   +1 more source

Scan-wise generalized PET denoising with contrastive adversarial learning. [PDF]

Phys Med Biol
Liu X, Marin T, Vafay Eslahi S, Tiss A, Chemli Y, Najmaoui Y, Jang SI, El Fakhri G, Ouyang J.   +8 more
europepmc   +1 more source

DKFraudNet: a knowledge-guided adversarial learning framework for fraud user detection. [PDF]

Front Big Data
Shen Y, Shi R, Song K, Li Y.
europepmc   +1 more source

Data-Efficient Unsupervised Recalibration of Calorimeter Sensor Arrays Using Wasserstein Adversarial Learning. [PDF]

Sensors (Basel)
Ali S, Bocharnikov V, Ratnikov F, Hushchyn M, Ryzhikov A, Derkach D.   +5 more
europepmc   +1 more source