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08/18/2023
Language-Guided Diffusion Model for Visual Grounding
Visual grounding (VG) tasks involve explicit cross-modal alignment, as s...
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04/16/2023
Shuffled Transformer for Privacy-Preserving Split Learning
In conventional split learning, training and testing data often face sev...
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10/13/2022
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning
Federated learning (FL) has increasingly been deployed, in its vertical ...
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06/18/2022
Pisces: Efficient Federated Learning via Guided Asynchronous Training
Federated learning (FL) is typically performed in a synchronous parallel...
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03/29/2022
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks
This paper proposes a new eXplanation framework, called OrphicX, for gen...
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01/23/2022
Towards Private Learning on Decentralized Graphs with Local Differential Privacy
Many real-world networks are inherently decentralized. For example, in s...
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10/07/2021
What Should Future Wireless Network Architectures Be?
The accelerated convergence of digital and real-world lifestyles has imp...
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04/14/2021
Generative Causal Explanations for Graph Neural Networks
This paper presents Gem, a model-agnostic approach for providing interpr...
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05/15/2020
Towards Assessment of Randomized Mechanisms for Certifying Adversarial Robustness
As a certified defensive technique, randomized smoothing has received co...
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05/15/2020
Towards Assessment of Randomized Smoothing Mechanisms for Certifying Adversarial Robustness
As a certified defensive technique, randomized smoothing has received co...
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05/14/2020
Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition
Skeleton-based action recognition has attracted increasing attention due...
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10/28/2019
Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data
Graph-based semi-supervised learning has been shown to be one of the mos...
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09/15/2019
Low-Latency Network-Adaptive Error Control for Interactive Streaming
We introduce a novel network-adaptive algorithm that is suitable for all...
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01/11/2019
Optimal Multiplexed Erasure Codes for Streaming Messages with Different Decoding Delays
This paper considers multiplexing two sequences of messages with two dif...
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06/26/2018
Optimal Streaming Erasure Codes over the Three-Node Relay Network
This paper investigates low-latency streaming codes for a three-node rel...
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06/07/2018
Fast Distributed Deep Learning via Worker-adaptive Batch Sizing
Deep neural network models are usually trained in cluster environments, ...
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01/12/2018
Optimal Streaming Codes for Channels with Burst and Arbitrary Erasures
This paper considers transmitting a sequence of messages (a streaming so...
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07/29/2013