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Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer


Nov 01, 2022
Sen Lin, Li Yang, Deliang Fan, Junshan Zhang

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* Published as a conference paper at NeurIPS 2022 

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ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning


May 09, 2022
Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti

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* Accepted to CVPR 2022 

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TRGP: Trust Region Gradient Projection for Continual Learning


Feb 07, 2022
Sen Lin, Li Yang, Deliang Fan, Junshan Zhang

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* Published as a conference paper at ICLR 2022 

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Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification


Dec 18, 2021
Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao

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DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories


Nov 08, 2021
Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan

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GROWN: GRow Only When Necessary for Continual Learning


Oct 03, 2021
Li Yang, Sen Lin, Junshan Zhang, Deliang Fan

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* 8 pages. arXiv admin note: text overlap with arXiv:2007.07617 by other authors 

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RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy


Mar 22, 2021
Adnan Siraj Rakin, Li Yang, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Yu Cao, Jae-sun Seo, Deliang Fan

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RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery


Jan 20, 2021
Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti

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DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning


Dec 02, 2020
Li Yang, Adnan Siraj Rakin, Deliang Fan

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MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning


Nov 28, 2020
Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang

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