Author:
Li Jingtao,Rakin Adnan Siraj,Xiong Yan,Chang Liangliang,He Zhezhi,Fan Deliang,Chakrabarti Chaitali
Cited by
30 articles.
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1. ALERT: A lightweight defense mechanism for enhancing DNN robustness against T-BFA;Journal of Systems Architecture;2024-07
2. DeepShuffle: A Lightweight Defense Framework against Adversarial Fault Injection Attacks on Deep Neural Networks in Multi-Tenant Cloud-FPGA;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19
3. High Reliable and Accurate Stochastic Computing-based Artificial Neural Network Architecture Design;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19
4. Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations;Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3;2024-04-27
5. Defending T-BFA in DNNs Efficiently via Random Security-Sensitive Weights Switching;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