b'Xiao Yang'

research

∙ 09/21/2023

How Robust is Google's Bard to Adversarial Image Attacks?

Multimodal Large Language Models (MLLMs) that integrate text and other m...

0 Yinpeng Dong, et al. ∙

research

∙ 08/31/2023

MVDream: Multi-view Diffusion for 3D Generation

We propose MVDream, a multi-view diffusion model that is able to generat...

0 Yichun Shi, et al. ∙

research

∙ 08/19/2023

Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos

This work focuses on the 3D reconstruction of non-rigid objects based on...

0 Yikai Wang, et al. ∙

research

∙ 08/04/2023

Knowledge-Driven Multi-Agent Reinforcement Learning for Computation Offloading in Cybertwin-Enabled Internet of Vehicles

By offloading computation-intensive tasks of vehicles to roadside units ...

0 Ruijin Sun, et al. ∙

research

∙ 08/04/2023

AdvFAS: A robust face anti-spoofing framework against adversarial examples

Ensuring the reliability of face recognition systems against presentatio...

0 Jiawei Chen, et al. ∙

research

∙ 08/01/2023

Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review

The advent of deep learning has brought a revolutionary transformation t...

0 Dan Zhang, et al. ∙

research

∙ 06/13/2023

Improving Opinion-based Question Answering Systems Through Label Error Detection and Overwrite

Label error is a ubiquitous problem in annotated data. Large amounts of ...

0 Xiao Yang, et al. ∙

research

∙ 05/26/2023

On Evaluating Adversarial Robustness of Large Vision-Language Models

Large vision-language models (VLMs) such as GPT-4 have achieved unpreced...

0 Yunqing Zhao, et al. ∙

research

∙ 05/25/2023

Unifying gradient regularization for Heterogeneous Graph Neural Networks

Heterogeneous Graph Neural Networks (HGNNs) are a class of powerful deep...

0 Xiao Yang, et al. ∙

research

∙ 05/24/2023

Robust Classification via a Single Diffusion Model

Recently, diffusion models have been successfully applied to improving a...

0 Huanran Chen, et al. ∙

research

∙ 05/17/2023

SAM for Poultry Science

In recent years, the agricultural industry has witnessed significant adv...

0 Xiao Yang, et al. ∙

research

∙ 05/15/2023

Common Diffusion Noise Schedules and Sample Steps are Flawed

We discover that common diffusion noise schedules do not enforce the las...

0 Shanchuan Lin, et al. ∙

research

∙ 03/28/2023

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition

Face recognition is a prevailing authentication solution in numerous bio...

0 Xiao Yang, et al. ∙

research

∙ 03/25/2023

PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters

We propose PAniC-3D, a system to reconstruct stylized 3D character heads...

0 Shuhong Chen, et al. ∙

research

∙ 03/20/2023

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving

3D object detection is an important task in autonomous driving to percei...

0 Yinpeng Dong, et al. ∙

research

∙ 03/17/2023

A Recipe for Watermarking Diffusion Models

Recently, diffusion models (DMs) have demonstrated their advantageous po...

0 Yunqing Zhao, et al. ∙

research

∙ 01/24/2023

Detecting and measuring human gastric peristalsis using magnetically controlled capsule endoscope

Magnetically controlled capsule endoscope (MCCE) is an emerging tool for...

10 Xueshen Li, et al. ∙

research

∙ 11/24/2022

Shifted Diffusion for Text-to-image Generation

We present Corgi, a novel method for text-to-image generation. Corgi is ...

0 Yufan Zhou, et al. ∙

research

∙ 08/21/2022

RGBD1K: A Large-scale Dataset and Benchmark for RGB-D Object Tracking

RGB-D object tracking has attracted considerable attention recently, ach...

0 Xue-feng Zhu, et al. ∙

research

∙ 04/29/2022

A Challenging Benchmark of Anime Style Recognition

Given two images of different anime roles, anime style recognition (ASR)...

0 Haotang Li, et al. ∙

research

∙ 03/09/2022

Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition

Recent studies have revealed the vulnerability of face recognition model...

0 Xiao Yang, et al. ∙

research

∙ 02/21/2022

Robustness and Accuracy Could Be Reconcilable by (Proper) Definition

The trade-off between robustness and accuracy has been widely studied in...

0 Tianyu Pang, et al. ∙

research

∙ 12/04/2021

SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing

Recent studies have shown that StyleGANs provide promising prior models ...

0 Yichun Shi, et al. ∙

research

∙ 10/15/2021

Adversarial Attacks on ML Defense Models Competition

Due to the vulnerability of deep neural networks (DNNs) to adversarial e...

0 Yinpeng Dong, et al. ∙

research

∙ 10/13/2021

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness

The vulnerability of deep neural networks to adversarial examples has mo...

0 Xiao Yang, et al. ∙

research

∙ 09/30/2021

Adversarial Semantic Contour for Object Detection

Modern object detectors are vulnerable to adversarial examples, which br...

0 Yichi Zhang, et al. ∙

research

∙ 09/27/2021

Using Pause Information for More Accurate Entity Recognition

Entity tags in human-machine dialog are integral to natural language und...

0 Sahas Dendukuri, et al. ∙

research

∙ 07/22/2021

Query2Label: A Simple Transformer Way to Multi-Label Classification

This paper presents a simple and effective approach to solving the multi...

10 Shilong Liu, et al. ∙

research

∙ 07/05/2021

Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks

Transfer-based adversarial attacks can effectively evaluate model robust...

0 Xiao Yang, et al. ∙

research

∙ 06/18/2021

Accumulative Poisoning Attacks on Real-time Data

Collecting training data from untrusted sources exposes machine learning...

0 Tianyu Pang, et al. ∙

research

∙ 06/03/2021

Exploring Memorization in Adversarial Training

It is well known that deep learning models have a propensity for fitting...

0 Yinpeng Dong, et al. ∙

research

∙ 05/26/2021

Unsupervised Part Segmentation through Disentangling Appearance and Shape

We study the problem of unsupervised discovery and segmentation of objec...

11 Shilong Liu, et al. ∙

research

∙ 04/12/2021

Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis

In this paper, we explore the open-domain sketch-to-photo translation, w...

7 Xiaoyu Xiang, et al. ∙

research

∙ 03/31/2021

PointShuffleNet: Learning Non-Euclidean Features with Homotopy Equivalence and Mutual Information

Point cloud analysis is still a challenging task due to the disorder and...

0 Linchao He, et al. ∙

research

∙ 03/27/2021

LiBRe: A Practical Bayesian Approach to Adversarial Detection

Despite their appealing flexibility, deep neural networks (DNNs) are vul...

0 Zhijie Deng, et al. ∙

research

∙ 03/24/2021

Black-box Detection of Backdoor Attacks with Limited Information and Data

Although deep neural networks (DNNs) have made rapid progress in recent ...

0 Yinpeng Dong, et al. ∙

research

∙ 03/05/2021

Joint Network Topology Inference via Structured Fusion Regularization

Joint network topology inference represents a canonical problem of joint...

0 Yanli Yuan, et al. ∙

research

∙ 12/04/2020

Incentive Mechanism Design for ROI-constrained Auto-bidding

Auto-bidding plays an important role in online advertising and has becom...

0 Bin Li, et al. ∙

research

∙ 10/01/2020

Bag of Tricks for Adversarial Training

Adversarial training (AT) is one of the most effective strategies for pr...

0 Tianyu Pang, et al. ∙

research

∙ 09/22/2020

Qlib: An AI-oriented Quantitative Investment Platform

Quantitative investment aims to maximize the return and minimize the ris...

0 Xiao Yang, et al. ∙

research

∙ 07/08/2020

Delving into the Adversarial Robustness on Face Recognition

Face recognition has recently made substantial progress and achieved hig...

10 Xiao Yang, et al. ∙

research

∙ 03/15/2020

Towards Privacy Protection by Generating Adversarial Identity Masks

As billions of personal data such as photos are shared through social me...

5 Xiao Yang, et al. ∙

research

∙ 02/20/2020

Boosting Adversarial Training with Hypersphere Embedding

Adversarial training (AT) is one of the most effective defenses to impro...

13 Tianyu Pang, et al. ∙

research

∙ 12/26/2019

Benchmarking Adversarial Robustness

Deep neural networks are vulnerable to adversarial examples, which becom...

0 Yinpeng Dong, et al. ∙

research

∙ 11/30/2019

Design and Interpretation of Universal Adversarial Patches in Face Detection

We consider universal adversarial patches for faces - small visual eleme...

0 Xiao Yang, et al. ∙

research

∙ 09/18/2019

Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant

Personal assistant AI systems such as Siri, Cortana, and Alexa have beco...

0 Deepak Muralidharan, et al. ∙

research

∙ 07/28/2019

AiAds: Automated and Intelligent Advertising System for Sponsored Search

Sponsored search has more than 20 years of history, and it has been prov...

0 Xiao Yang, et al. ∙

research

∙ 09/09/2018

TextContourNet: a Flexible and Effective Framework for Improving Scene Text Detection Architecture with a Multi-task Cascade

We study the problem of extracting text instance contour information fro...

0 Dafang He, et al. ∙

research

∙ 04/22/2018

Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching

Community-based question answering (CQA) websites represent an important...

0 Xiao Yang, et al. ∙

research

∙ 01/04/2018

Text Extraction and Retrieval from Smartphone Screenshots: Building a Repository for Life in Media

Daily engagement in life experiences is increasingly interwoven with mob...

0 Agnese Chiatti, et al. ∙

Xiao Yang

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