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09/20/2023
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting
Recent CNN and Transformer-based models tried to utilize frequency and p...
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09/09/2023
Towards Robust Model Watermark via Reducing Parametric Vulnerability
Deep neural networks are valuable assets considering their commercial be...
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08/12/2023
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training
Deep neural networks (DNNs) are widely deployed on real-world devices. C...
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07/19/2023
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement
Scene text image super-resolution (STISR), aiming to improve image quali...
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05/23/2023
TVTSv2: Learning Out-of-the-box Spatiotemporal Visual Representations at Scale
The ultimate goal for foundation models is realizing task-agnostic, i.e....
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03/23/2023
Backdoor Defense via Adaptively Splitting Poisoned Dataset
Backdoor defenses have been studied to alleviate the threat of deep neur...
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02/01/2023
BackdoorBox: A Python Toolbox for Backdoor Learning
Third-party resources (e.g., samples, backbones, and pre-trained models)...
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11/02/2022
Untargeted Backdoor Attack against Object Detection
Recent studies revealed that deep neural networks (DNNs) are exposed to ...
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11/02/2022
BATT: Backdoor Attack with Transformation-based Triggers
Deep neural networks (DNNs) are vulnerable to backdoor attacks. The back...
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11/02/2022
Backdoor Defense via Suppressing Model Shortcuts
Recent studies have demonstrated that deep neural networks (DNNs) are vu...
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10/20/2022
Towards Mitigating the Problem of Insufficient and Ambiguous Supervision in Online Crowdsourcing Annotation
In real-world crowdsourcing annotation systems, due to differences in us...
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10/16/2022
Towards Effective Image Manipulation Detection with Proposal Contrastive Learning
Deep models have been widely and successfully used in image manipulation...
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09/30/2022
Vertical Semi-Federated Learning for Efficient Online Advertising
As an emerging secure learning paradigm in leveraging cross-silo private...
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09/27/2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
Deep neural networks (DNNs) have demonstrated their superiority in pract...
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08/17/2022
Imperceptible and Robust Backdoor Attack in 3D Point Cloud
With the thriving of deep learning in processing point cloud data, recen...
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08/07/2022
Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolution
Image representation is critical for many visual tasks. Instead of repre...
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08/04/2022
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
Currently, deep neural networks (DNNs) are widely adopted in different a...
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07/27/2022
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips
The security of deep neural networks (DNNs) has attracted increasing att...
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07/25/2022
Versatile Weight Attack via Flipping Limited Bits
To explore the vulnerability of deep neural networks (DNNs), many attack...
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07/05/2022
Open-Vocabulary Multi-Label Classification via Multi-modal Knowledge Transfer
Real-world recognition system often encounters a plenty of unseen labels...
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05/31/2022
Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfer
As an emerging secure learning paradigm in leveraging cross-agency priva...
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05/19/2022
A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling
Recently, deep learning methods have shown great success in 3D point clo...
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04/03/2022
Improving Vision Transformers by Revisiting High-frequency Components
The transformer models have shown promising effectiveness in dealing wit...
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03/27/2022
Adaptive Frequency Learning in Two-branch Face Forgery Detection
Face forgery has attracted increasing attention in recent applications o...
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02/22/2022
On the Effectiveness of Adversarial Training against Backdoor Attacks
DNNs' demand for massive data forces practitioners to collect data from ...
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01/31/2022
Few-Shot Backdoor Attacks on Visual Object Tracking
Visual object tracking (VOT) has been widely adopted in mission-critical...
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12/07/2021
Defending against Model Stealing via Verifying Embedded External Features
Obtaining a well-trained model involves expensive data collection and tr...
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11/25/2021
Clustering Effect of (Linearized) Adversarial Robust Models
Adversarial robustness has received increasing attention along with the ...
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06/10/2021
Learnable Hypergraph Laplacian for Hypergraph Learning
HyperGraph Convolutional Neural Networks (HGCNNs) have demonstrated thei...
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04/06/2021
Backdoor Attack in the Physical World
Backdoor attack intends to inject hidden backdoor into the deep neural n...
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03/11/2021
Improving Adversarial Robustness via Channel-wise Activation Suppressing
The study of adversarial examples and their activation has attracted sig...
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03/06/2021
Hidden Backdoor Attack against Semantic Segmentation Models
Deep neural networks (DNNs) are vulnerable to the backdoor attack, which...
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02/21/2021
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
To explore the vulnerability of deep neural networks (DNNs), many attack...
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10/18/2020
JSRT: James-Stein Regression Tree
Regression tree (RT) has been widely used in machine learning and data m...
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10/16/2020
DPAttack: Diffused Patch Attacks against Universal Object Detection
Recently, deep neural networks (DNNs) have been widely and successfully ...
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09/24/2020
Improving Query Efficiency of Black-box Adversarial Attack
Deep neural networks (DNNs) have demonstrated excellent performance on v...
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08/21/2020
Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning
Interpretability and effectiveness are two essential and indispensable r...
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07/17/2020
Backdoor Learning: A Survey
Deep neural networks (DNNs) have demonstrated their power on many widely...
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07/16/2020
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters
Convolutional neural networks (CNNs) have been successfully used in a ra...
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07/01/2020
Temporal Calibrated Regularization for Robust Noisy Label Learning
Deep neural networks (DNNs) exhibit great success on many tasks with the...
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05/31/2020
Construction of MDS Euclidean Self-Dual Codes via Two Subsets
The parameters of a q-ary MDS Euclidean self-dual codes are completely d...
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04/13/2020
Revisiting Loss Landscape for Adversarial Robustness
The study on improving the robustness of deep neural networks against ad...
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03/26/2020
Matrix Smoothing: A Regularization for DNN with Transition Matrix under Noisy Labels
Training deep neural networks (DNNs) in the presence of noisy labels is ...
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02/23/2020
Practical and Bilateral Privacy-preserving Federated Learning
Federated learning, as an emerging distributed training model of neural ...
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02/14/2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Skip connections are an essential component of current state-of-the-art ...
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11/05/2019
Deep Flow Collaborative Network for Online Visual Tracking
The deep learning-based visual tracking algorithms such as MDNet achieve...
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11/05/2019
Visual Privacy Protection via Mapping Distortion
Data privacy protection is an important research area, which is especial...
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10/27/2019
Adversarial Defense Via Local Flatness Regularization
Adversarial defense is a popular and important research area. Due to its...
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08/15/2019
Adaptive Regularization of Labels
Recently, a variety of regularization techniques have been widely applie...
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07/22/2018