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11/02/2022
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model
Pre-trained multilingual language models play an important role in cross...
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12/22/2021
Understanding and Measuring Robustness of Multimodal Learning
The modern digital world is increasingly becoming multimodal. Although m...
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06/12/2021
CARTL: Cooperative Adversarially-Robust Transfer Learning
Transfer learning eases the burden of training a well-performed model fr...
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12/01/2020
Multi-level Knowledge Distillation
Knowledge distillation has become an important technique for model compr...
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07/29/2020
Measuring the Effectiveness of Privacy Policies for Voice Assistant Applications
Voice Assistants (VA) such as Amazon Alexa and Google Assistant are quic...
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04/05/2020
FairNN- Conjoint Learning of Fair Representations for Fair Decisions
In this paper, we propose FairNN a neural network that performs joint fe...
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10/09/2019
Explaining Deep Learning-Based Networked Systems
While deep learning (DL)-based networked systems have shown great potent...
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05/21/2019
SvTPM: A Secure and Efficient vTPM in the Cloud
Virtual Trusted Platform Modules (vTPMs) have been widely used in commer...
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03/27/2019
Rallying Adversarial Techniques against Deep Learning for Network Security
Recent advances in artificial intelligence and the increasing need for p...
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09/27/2018
Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards
Vision-based navigation of modern autonomous vehicles primarily depends ...
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05/26/2018
PAM: When Overloaded, Push Your Neighbor Aside!
Recently SmartNICs are widely used to accelerate service chains in NFV. ...
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04/16/2018
CoCo: Compact and Optimized Consolidation of Modularized Service Function Chains in NFV
The modularization of Service Function Chains (SFCs) in Network Function...
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11/29/2017
Cybersecurity Attacks in Vehicle-to-Infrastructure (V2I) Applications and their Prevention
A connected vehicle (CV) environment is composed of a diverse data colle...
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10/30/2017
