Adversarial – Newsemia

Preventing Imitation Learning with Adversarial Policy Ensembles. (arXiv:2002.01059v1 [cs.LG])

NewsemiaFebruary 5, 2020

by NewsemiaFebruary 5, 2020022

Imitation learning can reproduce policies by observing experts, which poses a problem regarding policy privacy. Policies, such as human, or policies on deployed robots, can...

AI/ML

Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks. (arXiv:2002.00011v1 [eess.IV])

NewsemiaFebruary 4, 2020

by NewsemiaFebruary 4, 2020027

Deep learning is a popular and powerful tool in computed tomography (CT) image processing such as organ segmentation, but its requirement of large training datasets...

Exponential Family Estimation via Adversarial Dynamics Embedding

NewsemiaJanuary 22, 2020

by NewsemiaJanuary 22, 2020012

Dai, B; Liu, Z; Dai, H; He, N; Gretton, A; Le, S; Schurmaans, D; (2019) Exponential Family Estimation via Adversarial Dynamics Embedding. In: Wallach, H...

Cardiology

Super-resolution of cardiac magnetic resonance images using Laplacian Pyramid based on Generative Adversarial Networks.

NewsemiaJanuary 15, 2020

by NewsemiaJanuary 15, 2020014

Related Articles Super-resolution of cardiac magnetic resonance images using Laplacian Pyramid based on Generative Adversarial Networks. Comput Med Imaging Graph. 2020 Jan 03;80:101698 Authors: Zhao...

AI/ML

Ambient Lighting Generation for Flash Images with Guided Conditional Adversarial Networks. (arXiv:1912.08813v1 [cs.CV])

NewsemiaDecember 20, 2019

by NewsemiaDecember 20, 201902

To cope with the challenges that low light conditions produce in images, photographers tend to use the light provided by the camera flash to get...

Multi-domain adaptation in brain MRI through paired consistency and adversarial learning

NewsemiaDecember 14, 2019

by NewsemiaDecember 14, 201900

Orbes-Arteaga, M; Varsavsky, T; Sudre, CH; Eaton-Rosen, Z; Haddow, LJ; Sørensen, L; Nielsen, M; … Cardoso, MJ; + view all Orbes-Arteaga, M; Varsavsky, T; Sudre,...

AI/ML

Scratch that! An Evolution-based Adversarial Attack against Neural Networks. (arXiv:1912.02316v1 [cs.NE])

NewsemiaDecember 7, 2019

by NewsemiaDecember 7, 201904

Recent research has shown that Deep Neural Networks (DNNs) for image classification are vulnerable to adversarial attacks. However, most works on adversarial samples utilize sub-perceptual...

AI/ML

A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks. (arXiv:1912.02258v1 [cs.CR])

NewsemiaDecember 7, 2019

by NewsemiaDecember 7, 201900

Machine learning techniques are currently used extensively for automating various cybersecurity tasks. Most of these techniques utilize supervised learning algorithms that rely on training the...

AI/ML

Playing it Safe: Adversarial Robustness with an Abstain Option. (arXiv:1911.11253v1 [cs.LG])

NewsemiaNovember 27, 2019

by NewsemiaNovember 27, 201901

We explore adversarial robustness in the setting in which it is acceptable for a classifier to abstain—that is, output no class—on adversarial examples. Adversarial examples...

AI/ML

Adversarial Inverse Reinforcement Learning for Decision Making in Autonomous Driving. (arXiv:1911.08044v1 [cs.AI])

NewsemiaNovember 20, 2019

by NewsemiaNovember 20, 201905

Generative Adversarial Imitation Learning (GAIL) is an efficient way to learn sequential control strategies from demonstration. Adversarial Inverse Reinforcement Learning (AIRL) is similar to GAIL...

AI/ML

Situated GAIL: Multitask imitation using task-conditioned adversarial inverse reinforcement learning. (arXiv:1911.00238v1 [cs.LG])

NewsemiaNovember 4, 2019

by NewsemiaNovember 4, 201900

Generative adversarial imitation learning (GAIL) has attracted increasing attention in the field of robot learning. It enables robots to learn a policy to achieve a...

AI/ML

Certified Adversarial Robustness for Deep Reinforcement Learning. (arXiv:1910.12908v1 [cs.RO])

NewsemiaOctober 30, 2019

by NewsemiaOctober 30, 201903

Deep Neural Network-based systems are now the state-of-the-art in many robotics tasks, but their application in safety-critical domains remains dangerous without formal guarantees on network...

AI/ML

Preventing Adversarial Use of Datasets through Fair Core-Set Construction. (arXiv:1910.10871v1 [cs.LG])

NewsemiaOctober 27, 2019

by NewsemiaOctober 27, 201900

We propose improving the privacy properties of a dataset by publishing only a strategically chosen “core-set” of the data containing a subset of the instances....

AI/ML

Adversarial Framing for Image and Video Classification. (arXiv:1812.04599v3 [cs.CV] UPDATED)

NewsemiaOctober 20, 2019

by NewsemiaOctober 20, 201900

Neural networks are prone to adversarial attacks. In general, such attacks deteriorate the quality of the input by either slightly modifying most of its pixels,...

AI/ML

A Gentle Introduction to Generative Adversarial Network Loss Functions

NewsemiaSeptember 1, 2019

by NewsemiaSeptember 1, 201900

The generative adversarial network, or GAN for short, is a deep learning architecture for training a generative model for image synthesis. The GAN architecture is...

AI/ML

How to Evaluate Generative Adversarial Networks

NewsemiaAugust 25, 2019

by NewsemiaAugust 25, 201900

Generative adversarial networks, or GANs for short, are an effective deep learning approach for developing generative models. Unlike other deep learning neural network models that...

AI/ML

A Gentle Introduction to BigGAN the Big Generative Adversarial Network

NewsemiaAugust 23, 2019

by NewsemiaAugust 23, 201904

Generative Adversarial Networks, or GANs, are perhaps the most effective generative model for image synthesis. Nevertheless, they are typically restricted to generating small images and...

AI/ML

9 Books on Generative Adversarial Networks (GANs)

NewsemiaAugust 21, 2019

by NewsemiaAugust 21, 201900

Generative Adversarial Networks, or GANs for short, were first described in the 2014 paper by Ian Goodfellow, et al. titled “Generative Adversarial Networks.” Since then,...

AI/ML

A Gentle Introduction to StyleGAN the Style Generative Adversarial Network

NewsemiaAugust 18, 2019

by NewsemiaAugust 18, 201900

Generative Adversarial Networks, or GANs for short, are effective at generating large high-quality images. Most improvement has been made to discriminator models in an effort...

AI/ML

A Gentle Introduction to Pix2Pix Generative Adversarial Network

NewsemiaJuly 29, 2019

by NewsemiaJuly 29, 201900

Image-to-image translation is the controlled conversion of a given source image to a target image. An example might be the conversion of black and white...