19 citations · 71 across the 9 of their papers we have counts for
9 papers
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models
Dong Lu, Zhiqiang Wang, Teng Wang +3
Vision-language pre-training (VLP) models have shown vulnerability to adversarial examples in multimodal tasks. Furthermore, malicious adversaries can be deliberately transferred t…
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning
Jianyi Zhang, Fangjiao Zhang, Qichao Jin +3
Federated Learning (FL) has received increasing attention due to its privacy protection capability. However, the base algorithm FedAvg is vulnerable when it suffers from so-called…
Benchmarks for Corruption Invariant Person Re-identification
Minghui Chen, Zhiqiang Wang, Feng Zheng
When deploying person re-identification (ReID) model in safety-critical applications, it is pivotal to understanding the robustness of the model against a diverse array of image co…
ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding
Zhiqiang Wang, Qingyun She, PengTao Zhang +1
Click-through rate (CTR) estimation is a fundamental task in personalized advertising and recommender systems and it's important for ranking models to effectively capture complex h…
Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction
Qingyun She, Zhiqiang Wang, Junlin Zhang
Click-through rate (CTR) prediction plays important role in personalized advertising and recommender systems. Though many models have been proposed such as FM, FFM and DeepFM in re…
MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask
Zhiqiang Wang, Qingyun She, Junlin Zhang
Click-Through Rate(CTR) estimation has become one of the most fundamental tasks in many real-world applications and it's important for ranking models to effectively capture complex…
Correct Normalization Matters: Understanding the Effect of Normalization On Deep Neural Network Models For Click-Through Rate Prediction
Zhiqiang Wang, Qingyun She, PengTao Zhang +1
Normalization has become one of the most fundamental components in many deep neural networks for machine learning tasks while deep neural network has also been widely used in CTR e…
GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction
Tongwen Huang, Qingyun She, Zhiqiang Wang +1
Advertising and feed ranking are essential to many Internet companies such as Facebook. Among many real-world advertising and feed ranking systems, click through rate (CTR) predict…
Typer vs. CAPTCHA: Private information based CAPTCHA to defend against crowdsourcing human cheating
Jianyi Zhang, Xiali Hei, Zhiqiang Wang
Crowdsourcing human-solving or online typing attacks are destructive problems. However, studies into these topics have been limited. In this paper, we focus on this kind of attacks…