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02/28/2023
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation
Cross-domain recommendation has attracted increasing attention from indu...
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07/16/2022
Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training
Adversarial training, as one of the most effective defense methods again...
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04/26/2022
Treating Crowdsourcing as Examination: How to Score Tasks and Online Workers?
Crowdsourcing is an online outsourcing mode which can solve the current ...
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12/23/2021
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art
The malware has been being one of the most damaging threats to computers...
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05/31/2021
STEP: Spatial-Temporal Network Security Event Prediction
Network security events prediction helps network operators to take respo...
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03/08/2021
Packet-Level Adversarial Network Traffic Crafting using Sequence Generative Adversarial Networks
The surge in the internet of things (IoT) devices seriously threatens th...
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01/04/2021
Machine Learning based Malicious Payload Identification in Software-Defined Networking
Deep packet inspection (DPI) has been extensively investigated in softwa...
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12/04/2020
Review: Deep Learning Methods for Cybersecurity and Intrusion Detection Systems
As the number of cyber-attacks is increasing, cybersecurity is evolving ...
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12/02/2020
Towards Imperceptible Adversarial Image Patches Based on Network Explanations
The vulnerability of deep neural networks (DNNs) for adversarial example...
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10/24/2020
Deep Graph Matching and Searching for Semantic Code Retrieval
Code retrieval is to find the code snippet from a large corpus of source...
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10/05/2020
UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers
A flurry of fuzzing tools (fuzzers) have been proposed in the literature...
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09/19/2020
EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks
With the boom of edge intelligence, its vulnerability to adversarial att...
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07/08/2020
Hierarchical Graph Matching Networks for Deep Graph Similarity Learning
While the celebrated graph neural networks yield effective representatio...
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01/04/2019
Adversarial Examples versus Cloud-based Detectors: A Black-box Empirical Study
Deep learning has been broadly leveraged by major cloud providers such a...
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01/04/2019