research
∙
10/15/2021
Adversarial Attacks on ML Defense Models Competition
Due to the vulnerability of deep neural networks (DNNs) to adversarial e...
share
research
∙
08/20/2021
AdvDrop: Adversarial Attack to DNNs by Dropping Information
Human can easily recognize visual objects with lost information: even lo...
research
∙
07/21/2021
DRDF: Determining the Importance of Different Multimodal Information with Dual-Router Dynamic Framework
In multimodal tasks, we find that the importance of text and image modal...
research
∙
07/17/2021
RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition
In fine-grained image recognition (FGIR), the localization and amplifica...
research
∙
06/30/2021
Monocular 3D Object Detection: An Extrinsic Parameter Free Approach
Monocular 3D object detection is an important task in autonomous driving...
research
∙
05/17/2021
Rethinking the Design Principles of Robust Vision Transformer
Recent advances on Vision Transformers (ViT) have shown that self-attent...
research
∙
04/06/2021
Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning
This paper strives to predict fine-grained fashion similarity. In this s...
research
∙
03/12/2021
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association
Nowadays, we have witnessed the early progress on learning the associati...
research
∙
03/11/2021
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink
Though it is well known that the performance of deep neural networks (DN...
research
∙
03/04/2021
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval
We study the query-based attack against image retrieval to evaluate its ...
research
∙
03/02/2021
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain
The remarkable success in face forgery techniques has received considera...
research
∙
02/18/2021
Hierarchical Similarity Learning for Language-based Product Image Retrieval
This paper aims for the language-based product image retrieval task. The...
research
∙
12/14/2020
The Open Brands Dataset: Unified brand detection and recognition at scale
Intellectual property protection(IPP) have received more and more attent...
research
∙
12/10/2020
Composite Adversarial Attacks
Adversarial attack is a technique for deceiving Machine Learning (ML) mo...
research
∙
11/30/2020
Heuristic Domain Adaptation
In visual domain adaptation (DA), separating the domain-specific charact...
research
∙
08/11/2020
Sharp Multiple Instance Learning for DeepFake Video Detection
With the rapid development of facial manipulation techniques, face forge...
research
∙
06/09/2020
GAP++: Learning to generate target-conditioned adversarial examples
Adversarial examples are perturbed inputs which can cause a serious thre...
research
∙
05/18/2020
Energy-Efficient On-Chip Networks through Profiled Hybrid Switching
Virtual channel flow control is the de facto choice for modern networks-...
research
∙
04/28/2020
Robust Generative Adversarial Network
Generative adversarial networks (GANs) are powerful generative models, b...
research
∙
04/17/2020
An Asynchronous Computability Theorem for Fair Adversaries
This paper proposes a simple topological characterization of a large cla...
research
∙
02/07/2020
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network
This paper strives to learn fine-grained fashion similarity. In this sim...
research
∙
12/18/2019
Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift
Few-shot image classification requires the classifier to robustly cope w...
research
∙
11/15/2019
AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients
Deep neural networks have been shown to be vulnerable to adversarial exa...
research
∙
11/15/2019
Learning To Characterize Adversarial Subspaces
Deep Neural Networks (DNNs) are known to be vulnerable to the maliciousl...
research
∙
11/15/2019
Self-supervised Adversarial Training
Recent work has demonstrated that neural networks are vulnerable to adve...
research
∙
11/14/2019
Self-Supervised Learning For Few-Shot Image Classification
Few-shot image classification aims to classify unseen classes with limit...
research
∙
08/08/2019
Progressive Relation Learning for Group Activity Recognition
Group activities usually involve spatio-temporal dynamics among many int...
research
∙
05/27/2019
An Open-Source Benchmark Suite for Cloud and IoT Microservices
Cloud services have recently started undergoing a major shift from monol...
research
∙
05/02/2019
Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices
Performance unpredictability is a major roadblock towards cloud adoption...
research
∙
03/25/2019
Fixed Region Beamforming using Frequency Diverse Subarray for Secure Mmwave Wireless Communications
Millimeter-wave (mmWave) using conventional phased array (CPA) enables h...
research
∙
03/18/2019
Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks
The task of Language-Based Image Editing (LBIE) aims at generating a tar...
research
∙
02/19/2019
Graph Neural Networks for Social Recommendation
In recent years, Graph Neural Networks (GNNs), which can naturally integ...
research
∙
09/04/2018
A Neural Network Aided Approach for LDPC Coded DCO-OFDM with Clipping Distortion
In this paper, a neural network-aided bit-interleaved coded modulation (...
research
∙
04/24/2018