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05/03/2023
On the Security Risks of Knowledge Graph Reasoning
Knowledge graph reasoning (KGR) – answering complex logical queries over...
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10/21/2022
Neural Architectural Backdoors
This paper asks the intriguing question: is it possible to exploit neura...
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10/13/2022
Demystifying Self-supervised Trojan Attacks
As an emerging machine learning paradigm, self-supervised learning (SSL)...
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09/27/2022
Reasoning over Multi-view Knowledge Graphs
Recently, knowledge representation learning (KRL) is emerging as the sta...
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10/27/2021
Towards Robust Reasoning over Knowledge Graphs
Answering complex logical queries over large-scale knowledge graphs (KGs...
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10/12/2021
On the Security Risks of AutoML
Neural Architecture Search (NAS) represents an emerging machine learning...
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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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12/16/2020
TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask)
Neural backdoors represent one primary threat to the security of deep le...
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06/21/2020
Graph Backdoor
One intriguing property of deep neural network (DNN) models is their inh...
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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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11/05/2019
