Search Results for author: Ning Yu

Found 24 papers, 12 papers with code

基于义原表示学习的词向量表示方法(Word Representation based on Sememe Representation Learning)

no code implementations CCL 2021 Ning Yu, Jiangping Wang, Yu Shi, Jianyi Liu

“本文利用知网(HowNet)中的知识, 并将Word2vec模型的结构和思想迁移至义原表示学习过程中, 提出了一个基于义原表示学习的词向量表示方法。首先, 本文利用OpenHowNet获取义原知识库中的所有义原、所有中文词汇以及所有中文词汇和其对应的义原集合, 作为实验的数据集。然后, 基于Skip-gram模型, 训练义原表示学习模型, 进而获得词向量。最后, 通过词相似度任务、词义消歧任务、词汇类比和观察最近邻义原, 来评价本文提出的方法获取的词向量的效果。通过和基线模型比较, 发现本文提出的方法既高效又准确, 不依赖大规模语料也不需要复杂的网络结构和繁多的参数, 也能提升各种自然语言处理任务的准确率。”

Representation Learning

Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders

no code implementations19 Jan 2022 Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang

Unsupervised representation learning techniques have been developing rapidly to make full use of unlabeled images.

Contrastive Learning Representation Learning

RelaxLoss: Defending Membership Inference Attacks without Losing Utility

1 code implementation ICLR 2022 Dingfan Chen, Ning Yu, Mario Fritz

As a long-term threat to the privacy of training data, membership inference attacks (MIAs) emerge ubiquitously in machine learning models.

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

1 code implementation29 May 2021 Yang He, Ning Yu, Margret Keuper, Mario Fritz

The rapid advances in deep generative models over the past years have led to highly {realistic media, known as deepfakes,} that are commonly indistinguishable from real to human eyes.

Colorization Denoising +2

KNN, An Underestimated Model for Regional Rainfall Forecasting

no code implementations28 Mar 2021 Ning Yu, Timothy Haskins

Regional rainfall forecasting is an important issue in hydrology and meteorology.

Deep Video Inpainting Detection

no code implementations26 Jan 2021 Peng Zhou, Ning Yu, Zuxuan Wu, Larry S. Davis, Abhinav Shrivastava, Ser-Nam Lim

This paper studies video inpainting detection, which localizes an inpainted region in a video both spatially and temporally.

Video Inpainting

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs

1 code implementation CVPR 2021 Hui-Po Wang, Ning Yu, Mario Fritz

While Generative Adversarial Networks (GANs) show increasing performance and the level of realism is becoming indistinguishable from natural images, this also comes with high demands on data and computation.

Image Generation Unconditional Image Generation

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

1 code implementation ICCV 2021 Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz

Thus, we seek a proactive and sustainable solution on deepfake detection, that is agnostic to the evolution of generative models, by introducing artificial fingerprints into the models.

DeepFake Detection Face Swapping +2

6 nm super-resolution optical transmission and scattering spectroscopic imaging of carbon nanotubes using a nanometer-scale white light source

no code implementations8 Jun 2020 Xuezhi Ma, Qiushi Liu, Ning Yu, Da Xu, Sanggon Kim, Zebin Liu, Kaili Jiang, Bryan M. Wong, Ruoxue Yan, Ming Liu

Optical hyperspectral imaging based on absorption and scattering of photons at the visible and adjacent frequencies denotes one of the most informative and inclusive characterization methods in material research.

Super-Resolution Optics Materials Science

Long-Tailed Recognition Using Class-Balanced Experts

1 code implementation7 Apr 2020 Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele

Deep learning enables impressive performance in image recognition using large-scale artificially-balanced datasets.

Long-tail Learning

Inclusive GAN: Improving Data and Minority Coverage in Generative Models

1 code implementation ECCV 2020 Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz

Generative Adversarial Networks (GANs) have brought about rapid progress towards generating photorealistic images.

AI-Powered GUI Attack and Its Defensive Methods

no code implementations26 Jan 2020 Ning Yu, Zachary Tuttle, Carl Jake Thurnau, Emmanuel Mireku

Since the first Graphical User Interface (GUI) prototype was invented in the 1970s, GUI systems have been deployed into various personal computer systems and server platforms.

Object Recognition

Macrocosm: Social Media Persona Linking for Open Source Intelligence Applications

no code implementations EMNLP 2019 Graham Horwood, Ning Yu, Thomas Boggs, Changjiang Yang, Chad Holvenstot

Online Social Networks (OSNs) provide a wealth of intelligence to analysts in assisting tasks such as tracking cyber-attacks, human trafficking activities, and misinformation campaigns.


GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models

1 code implementation9 Sep 2019 Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz

In addition, we propose the first generic attack model that can be instantiated in a large range of settings and is applicable to various kinds of deep generative models.

Inference Attack Membership Inference Attack

Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints

1 code implementation ICCV 2019 Ning Yu, Larry Davis, Mario Fritz

Our experiments show that (1) GANs carry distinct model fingerprints and leave stable fingerprints in their generated images, which support image attribution; (2) even minor differences in GAN training can result in different fingerprints, which enables fine-grained model authentication; (3) fingerprints persist across different image frequencies and patches and are not biased by GAN artifacts; (4) fingerprint finetuning is effective in immunizing against five types of adversarial image perturbations; and (5) comparisons also show our learned fingerprints consistently outperform several baselines in a variety of setups.

Image Generation

Three-Stream Convolutional Networks for Video-based Person Re-Identification

no code implementations22 Nov 2017 Zeng Yu, Tianrui Li, Ning Yu, Xun Gong, Ke Chen, Yi Pan

This paper aims to develop a new architecture that can make full use of the feature maps of convolutional networks.

Video-Based Person Re-Identification

Reconstruction of Hidden Representation for Robust Feature Extraction

no code implementations8 Oct 2017 Zeng Yu, Tianrui Li, Ning Yu, Yi Pan, Hongmei Chen, Bing Liu

We believe that minimizing the reconstruction error of the hidden representation is more robust than minimizing the Frobenius norm of the Jacobian matrix of the hidden representation.

Denoising Representation Learning

Learning to Detect Multiple Photographic Defects

1 code implementation6 Dec 2016 Ning Yu, Xiaohui Shen, Zhe Lin, Radomir Mech, Connelly Barnes

Our new dataset enables us to formulate the problem as a multi-task learning problem and train a multi-column deep convolutional neural network (CNN) to simultaneously predict the severity of all the defects.

Defect Detection Multi-Task Learning

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