Adversarial Training Method for Machine Learning Model in a Resource-Constrained Environment

Author:

Rajhi Mohammed1ORCID,Pissinou Niki1ORCID

Affiliation:

1. Florida International University, Miami, FL, USA

Publisher

ACM

Reference21 articles.

1. Abhishek Aich . 2021. Elastic Weight Consolidation (EWC): Nuts and Bolts. ArXiv abs/2105.04093 ( 2021 ). https://api.semanticscholar.org/CorpusID:234336029 Abhishek Aich. 2021. Elastic Weight Consolidation (EWC): Nuts and Bolts. ArXiv abs/2105.04093 (2021). https://api.semanticscholar.org/CorpusID:234336029

2. Alexandre Araujo , Rafael Pinot , Benjamin Négrevergne , Laurent Meunier , Yann Chevaleyre , Florian Yger , and Jamal Atif . 2019. Robust Neural Networks using Randomized Adversarial Training. ArXiv abs/1903.10219 ( 2019 ). https://api.semanticscholar.org/CorpusID:85501705 Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, and Jamal Atif. 2019. Robust Neural Networks using Randomized Adversarial Training. ArXiv abs/1903.10219 (2019). https://api.semanticscholar.org/CorpusID:85501705

3. Nicholas Carlini and David A. Wagner . 2016 . Towards Evaluating the Robustness of Neural Networks. 2017 IEEE Symposium on Security and Privacy (SP) ( 2016 ), 39--57. Nicholas Carlini and David A. Wagner. 2016. Towards Evaluating the Robustness of Neural Networks. 2017 IEEE Symposium on Security and Privacy (SP) (2016), 39--57.

4. Matthieu Courbariaux Yoshua Bengio and Jean-Pierre David. 2015. BinaryConnect: Training Deep Neural Networks with binary weights during propagations. In NIPS. https://api.semanticscholar.org/CorpusID:1518846 Matthieu Courbariaux Yoshua Bengio and Jean-Pierre David. 2015. BinaryConnect: Training Deep Neural Networks with binary weights during propagations. In NIPS. https://api.semanticscholar.org/CorpusID:1518846

5. Hassan Dbouk and Naresh R Shanbhag . 2023 . On the Robustness of Randomized Ensembles to Adversarial Perturbations . In International Conference on Machine Learning. https://api.semanticscholar.org/CorpusID:256598229 Hassan Dbouk and Naresh R Shanbhag. 2023. On the Robustness of Randomized Ensembles to Adversarial Perturbations. In International Conference on Machine Learning. https://api.semanticscholar.org/CorpusID:256598229

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adversarial Training on Limited-Resource Devices Through Asymmetric Disturbances;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29

2. Resource-Limited Localized Adaptive Adversarial Training for Machine Learning Model;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21

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