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07/19/2023
Text2Layer: Layered Image Generation using Latent Diffusion Model
Layer compositing is one of the most popular image editing workflows amo...
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05/20/2023
Patton: Language Model Pretraining on Text-Rich Networks
A real-world text corpus sometimes comprises not only text documents but...
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01/01/2023
Federated Learning with Client-Exclusive Classes
Existing federated classification algorithms typically assume the local ...
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09/15/2022
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations
We present TwHIN-BERT, a multilingual language model trained on in-domai...
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04/29/2022
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision
Automatic extraction of product attributes from their textual descriptio...
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09/14/2021
Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving
Autonomous driving (AD) systems have been thriving in recent years. In g...
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02/23/2021
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks
Text categorization is an essential task in Web content analysis. Consid...
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01/22/2021
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks
Providing explanations for deep neural networks (DNNs) is essential for ...
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08/01/2020
Trojaning Language Models for Fun and Profit
Recent years have witnessed a new paradigm of building natural language ...
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06/16/2020
AdvMind: Inferring Adversary Intent of Black-Box Attacks
Deep neural networks (DNNs) are inherently susceptible to adversarial at...
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01/01/2020
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
Recent years have witnessed tremendous interest in understanding and pre...
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11/05/2019
The Tale of Evil Twins: Adversarial Inputs versus Backdoored Models
Despite their tremendous success in a wide range of applications, deep n...
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12/03/2018
Interpretable Deep Learning under Fire
Providing explanations for complicated deep neural network (DNN) models ...
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12/02/2018
Model-Reuse Attacks on Deep Learning Systems
Many of today's machine learning (ML) systems are built by reusing an ar...
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08/01/2018
EagleEye: Attack-Agnostic Defense against Adversarial Inputs (Technical Report)
Deep neural networks (DNNs) are inherently vulnerable to adversarial inp...
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01/05/2018
Differentially Private Releasing via Deep Generative Model
Privacy-preserving releasing of complex data (e.g., image, text, audio) ...
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08/25/2017
