Lanjun Wang | DeepAI

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238 publications
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∙ 09/07/2023

T2IW: Joint Text to Image Watermark Generation

Recent developments in text-conditioned image generative models have rev...

0 An-An Liu, et al. ∙

∙ 09/05/2023

Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data

Existing approaches to automatic data transformation are insufficient to...

0 Ankita Sharma, et al. ∙

∙ 12/22/2022

IPProtect: protecting the intellectual property of visual datasets during data valuation

Data trading is essential to accelerate the development of data-driven m...

4 Gursimran Singh, et al. ∙

∙ 12/03/2022

GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning

Federated learning (FL) is an effective technique to directly involve ed...

0 Shiqi He, et al. ∙

∙ 07/12/2022

Revealing Unfair Models by Mining Interpretable Evidence

The popularity of machine learning has increased the risk of unfair mode...

10 Mohit Bajaj, et al. ∙

∙ 03/24/2022

Intrinsic Bias Identification on Medical Image Datasets

Machine learning based medical image analysis highly depends on datasets...

0 Shijie Zhang, et al. ∙

∙ 03/10/2022

Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation

Image-to-image translation models are shown to be vulnerable to the Memb...

0 Saeed Ranjbar Alvar, et al. ∙

∙ 03/05/2022

Cosine Model Watermarking Against Ensemble Distillation

Many model watermarking methods have been developed to prevent valuable ...

0 Laurent Charette, et al. ∙

∙ 03/04/2022

Targeted Data Poisoning Attack on News Recommendation System by Content Perturbation

News Recommendation System(NRS) has become a fundamental technology to m...

0 Xudong Zhang, et al. ∙

∙ 12/15/2021

Mining Minority-class Examples With Uncertainty Estimates

In the real world, the frequency of occurrence of objects is naturally s...

1 Gursimran Singh, et al. ∙

∙ 12/10/2021

Human Interpretation and Exploitation of Self-attention Patterns in Transformers: A Case Study in Extractive Summarization

The transformer multi-head self-attention mechanism has been thoroughly ...

0 Raymond Li, et al. ∙

∙ 09/13/2021

FedFair: Training Fair Models In Cross-Silo Federated Learning

Building fair machine learning models becomes more and more important. A...

10 Lingyang Chu, et al. ∙

∙ 08/31/2021

T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP

Transformers are the dominant architecture in NLP, but their training an...

0 Raymond Li, et al. ∙

∙ 08/30/2021

Auto-Split: A General Framework of Collaborative Edge-Cloud AI

In many industry scale applications, large and resource consuming machin...

0 Amin Banitalebi-Dehkordi, et al. ∙

∙ 08/13/2021

Finding Representative Interpretations on Convolutional Neural Networks

Interpreting the decision logic behind effective deep convolutional neur...

0 Peter Cho-Ho Lam, et al. ∙

∙ 07/08/2021

Robust Counterfactual Explanations on Graph Neural Networks

Massive deployment of Graph Neural Networks (GNNs) in high-stake applica...

0 Mohit Bajaj, et al. ∙

∙ 10/30/2020

Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification

Deep neural networks are vulnerable to adversarial attacks. White-box ad...

0 Yongwei Wang, et al. ∙

∙ 07/07/2020

Personalized Federated Learning: An Attentive Collaboration Approach

For the challenging computational environment of IOT/edge computing, per...

12 Yutao Huang, et al. ∙

∙ 06/17/2019

Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution

More and more AI services are provided through APIs on cloud where predi...

2 Zicun Cong, et al. ∙

∙ 02/17/2018

Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution

Strong intelligent machines powered by deep neural networks are increasi...

0 Lingyang Chu, et al. ∙

∙ 07/13/2016

Characterizing Driving Styles with Deep Learning

Characterizing driving styles of human drivers using vehicle sensor data...

0 Weishan Dong, et al. ∙

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