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02/03/2023
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization
In this paper, we propose REASON, a novel framework that enables the aut...
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10/26/2022
Personalized Federated Learning via Heterogeneous Modular Networks
Personalized Federated Learning (PFL) which collaboratively trains a fed...
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10/25/2022
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification
Recently, a lot of research attention has been devoted to exploring Web ...
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04/08/2021
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems
We present FACESEC, a framework for fine-grained robustness evaluation o...
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05/08/2020
Towards Robustness against Unsuspicious Adversarial Examples
Despite the remarkable success of deep neural networks, significant conc...
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09/20/2019
Defending Against Physically Realizable Attacks on Image Classification
We study the problem of defending deep neural network approaches for ima...
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06/20/2019
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning
Detection of malicious behavior is a fundamental problem in security. On...
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06/06/2018
