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09/21/2023
How Robust is Google's Bard to Adversarial Image Attacks?
Multimodal Large Language Models (MLLMs) that integrate text and other m...
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08/31/2023
MVDream: Multi-view Diffusion for 3D Generation
We propose MVDream, a multi-view diffusion model that is able to generat...
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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...
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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 ...
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08/04/2023
AdvFAS: A robust face anti-spoofing framework against adversarial examples
Ensuring the reliability of face recognition systems against presentatio...
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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...
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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 ...
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05/26/2023
On Evaluating Adversarial Robustness of Large Vision-Language Models
Large vision-language models (VLMs) such as GPT-4 have achieved unpreced...
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05/25/2023
Unifying gradient regularization for Heterogeneous Graph Neural Networks
Heterogeneous Graph Neural Networks (HGNNs) are a class of powerful deep...
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05/24/2023
Robust Classification via a Single Diffusion Model
Recently, diffusion models have been successfully applied to improving a...
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05/17/2023
SAM for Poultry Science
In recent years, the agricultural industry has witnessed significant adv...
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05/15/2023
Common Diffusion Noise Schedules and Sample Steps are Flawed
We discover that common diffusion noise schedules do not enforce the las...
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03/28/2023
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition
Face recognition is a prevailing authentication solution in numerous bio...
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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...
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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...
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03/17/2023
A Recipe for Watermarking Diffusion Models
Recently, diffusion models (DMs) have demonstrated their advantageous po...
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01/24/2023
Detecting and measuring human gastric peristalsis using magnetically controlled capsule endoscope
Magnetically controlled capsule endoscope (MCCE) is an emerging tool for...
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11/24/2022
Shifted Diffusion for Text-to-image Generation
We present Corgi, a novel method for text-to-image generation. Corgi is ...
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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...
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04/29/2022
A Challenging Benchmark of Anime Style Recognition
Given two images of different anime roles, anime style recognition (ASR)...
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03/09/2022
Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition
Recent studies have revealed the vulnerability of face recognition model...
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02/21/2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
The trade-off between robustness and accuracy has been widely studied in...
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12/04/2021
SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing
Recent studies have shown that StyleGANs provide promising prior models ...
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10/15/2021
Adversarial Attacks on ML Defense Models Competition
Due to the vulnerability of deep neural networks (DNNs) to adversarial e...
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10/13/2021
Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness
The vulnerability of deep neural networks to adversarial examples has mo...
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09/30/2021
Adversarial Semantic Contour for Object Detection
Modern object detectors are vulnerable to adversarial examples, which br...
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09/27/2021
Using Pause Information for More Accurate Entity Recognition
Entity tags in human-machine dialog are integral to natural language und...
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07/22/2021
Query2Label: A Simple Transformer Way to Multi-Label Classification
This paper presents a simple and effective approach to solving the multi...
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07/05/2021
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks
Transfer-based adversarial attacks can effectively evaluate model robust...
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06/18/2021
Accumulative Poisoning Attacks on Real-time Data
Collecting training data from untrusted sources exposes machine learning...
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06/03/2021
Exploring Memorization in Adversarial Training
It is well known that deep learning models have a propensity for fitting...
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05/26/2021
Unsupervised Part Segmentation through Disentangling Appearance and Shape
We study the problem of unsupervised discovery and segmentation of objec...
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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...
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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...
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03/27/2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection
Despite their appealing flexibility, deep neural networks (DNNs) are vul...
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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 ...
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03/05/2021
Joint Network Topology Inference via Structured Fusion Regularization
Joint network topology inference represents a canonical problem of joint...
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12/04/2020
Incentive Mechanism Design for ROI-constrained Auto-bidding
Auto-bidding plays an important role in online advertising and has becom...
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10/01/2020
Bag of Tricks for Adversarial Training
Adversarial training (AT) is one of the most effective strategies for pr...
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09/22/2020
Qlib: An AI-oriented Quantitative Investment Platform
Quantitative investment aims to maximize the return and minimize the ris...
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07/08/2020
Delving into the Adversarial Robustness on Face Recognition
Face recognition has recently made substantial progress and achieved hig...
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03/15/2020
Towards Privacy Protection by Generating Adversarial Identity Masks
As billions of personal data such as photos are shared through social me...
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02/20/2020
Boosting Adversarial Training with Hypersphere Embedding
Adversarial training (AT) is one of the most effective defenses to impro...
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12/26/2019
Benchmarking Adversarial Robustness
Deep neural networks are vulnerable to adversarial examples, which becom...
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11/30/2019
Design and Interpretation of Universal Adversarial Patches in Face Detection
We consider universal adversarial patches for faces - small visual eleme...
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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...
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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...
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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...
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04/22/2018
Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching
Community-based question answering (CQA) websites represent an important...
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01/04/2018
