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10/10/2022
Unveiling Hidden DNN Defects with Decision-Based Metamorphic Testing
Contemporary DNN testing works are frequently conducted using metamorphi...
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05/24/2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
We propose Byzantine-robust federated learning protocols with nearly opt...
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01/08/2022
Attacking Vertical Collaborative Learning System Using Adversarial Dominating Inputs
Vertical collaborative learning system also known as vertical federated ...
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12/09/2021
Automated Side Channel Analysis of Media Software with Manifold Learning
The prosperous development of cloud computing and machine learning as a ...
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12/06/2021
MDPFuzzer: Finding Crash-Triggering State Sequences in Models Solving the Markov Decision Process
The Markov decision process (MDP) provides a mathematical framework for ...
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12/03/2021
Enhancing Deep Neural Networks Testing by Traversing Data Manifold
We develop DEEPTRAVERSAL, a feedback-driven framework to test DNNs. DEEP...
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12/03/2021
You Can't See the Forest for Its Trees: Assessing Deep Neural Network Testing via NeuraL Coverage
This paper summarizes eight design requirements for DNN testing criteria...
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05/30/2021
FED-χ^2: Privacy Preserving Federated Correlation Test
In this paper, we propose the first secure federated χ^2-test protocol F...
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10/02/2020
F2ED-Learning: Good Fences Make Good Neighbors
In this paper, we present F2ED-Learning, the first federated learning pr...
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06/15/2020
