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08/02/2023
Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator
DNN accelerators have been widely deployed in many scenarios to speed up...
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07/14/2023
Adversarial Training Over Long-Tailed Distribution
In this paper, we study adversarial training on datasets that obey the l...
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06/07/2023
Extracting Cloud-based Model with Prior Knowledge
Machine Learning-as-a-Service, a pay-as-you-go business pattern, is wide...
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12/03/2022
Efficiency Boosting of Secure Cross-platform Recommender Systems over Sparse Data
Fueled by its successful commercialization, the recommender system (RS) ...
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11/24/2022
A Benchmark of Long-tailed Instance Segmentation with Noisy Labels (Short Version)
In this paper, we consider the instance segmentation task on a long-tail...
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10/16/2022
New Secure Sparse Inner Product with Applications to Machine Learning
Sparse inner product (SIP) has the attractive property of overhead being...
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10/16/2022
VerifyML: Obliviously Checking Model Fairness Resilient to Malicious Model Holder
In this paper, we present VerifyML, the first secure inference framework...
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07/11/2022
A Secure Fingerprinting Framework for Distributed Image Classification
The deep learning (DL) technology has been widely used for image classif...
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07/11/2022
SIMC 2.0: Improved Secure ML Inference Against Malicious Clients
In this paper, we study the problem of secure ML inference against a mal...
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07/11/2022
Hercules: Boosting the Performance of Privacy-preserving Federated Learning
In this paper, we address the problem of privacy-preserving federated ne...
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07/11/2022
Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption
Decentralized deep learning plays a key role in collaborative model trai...
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04/07/2022
ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks
Multiplication-less neural networks significantly reduce the time and en...
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03/02/2022