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07/14/2023
Omnipotent Adversarial Training for Unknown Label-noisy and Imbalanced Datasets
Adversarial training is an important topic in robust deep learning, but ...
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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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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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10/06/2021
BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models
Pre-trained Natural Language Processing (NLP) models can be easily adapt...
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06/09/2020
Stealing Deep Reinforcement Learning Models for Fun and Profit
In this paper, we present the first attack methodology to extract black-...
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05/14/2020