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07/26/2023
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models
Vision-language pre-training (VLP) models have shown vulnerability to ad...
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07/19/2023
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
The research field of Information Retrieval (IR) has evolved significant...
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02/22/2023
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks
Social Internet of Things (SIoT), a promising and emerging paradigm that...
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12/28/2022
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning
Federated Learning (FL) has received increasing attention due to its pri...
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11/01/2021
Benchmarks for Corruption Invariant Person Re-identification
When deploying person re-identification (ReID) model in safety-critical ...
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07/26/2021
ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding
Click-through rate (CTR) estimation is a fundamental task in personalize...
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07/26/2021
Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction
Click-through rate (CTR) prediction plays important role in personalized...
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06/05/2021
GLSD: The Global Large-Scale Ship Database and Baseline Evaluations
In this paper, we introduce a challenging global large-scale ship databa...
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05/23/2021
SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising
Hyperspectral images (HSIs) have been widely used in a variety of applic...
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02/09/2021
MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask
Click-Through Rate(CTR) estimation has become one of the most fundamenta...
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07/06/2020
GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction
Advertising and feed ranking are essential to many Internet companies su...
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06/23/2020
Correct Normalization Matters: Understanding the Effect of Normalization On Deep Neural Network Models For Click-Through Rate Prediction
Normalization has become one of the most fundamental components in many ...
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02/11/2020
Robot Navigation with Map-Based Deep Reinforcement Learning
This paper proposes an end-to-end deep reinforcement learning approach f...
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10/10/2019
A New Cryptosystem Based on Positive Braids
The braid group is an important non commutative group, at the same time,...
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04/29/2019
Typer vs. CAPTCHA: Private information based CAPTCHA to defend against crowdsourcing human cheating
Crowdsourcing human-solving or online typing attacks are destructive pro...
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03/30/2019