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09/07/2023
T2IW: Joint Text to Image Watermark Generation
Recent developments in text-conditioned image generative models have rev...
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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...
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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...
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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...
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07/12/2022
Revealing Unfair Models by Mining Interpretable Evidence
The popularity of machine learning has increased the risk of unfair mode...
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03/24/2022
Intrinsic Bias Identification on Medical Image Datasets
Machine learning based medical image analysis highly depends on datasets...
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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...
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03/05/2022
Cosine Model Watermarking Against Ensemble Distillation
Many model watermarking methods have been developed to prevent valuable ...
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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...
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12/15/2021
Mining Minority-class Examples With Uncertainty Estimates
In the real world, the frequency of occurrence of objects is naturally s...
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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 ...
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09/13/2021
FedFair: Training Fair Models In Cross-Silo Federated Learning
Building fair machine learning models becomes more and more important. A...
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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...
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08/30/2021
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
In many industry scale applications, large and resource consuming machin...
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08/13/2021
Finding Representative Interpretations on Convolutional Neural Networks
Interpreting the decision logic behind effective deep convolutional neur...
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07/08/2021
Robust Counterfactual Explanations on Graph Neural Networks
Massive deployment of Graph Neural Networks (GNNs) in high-stake applica...
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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...
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07/07/2020
Personalized Federated Learning: An Attentive Collaboration Approach
For the challenging computational environment of IOT/edge computing, per...
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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...
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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...
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07/13/2016