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Deliang Fan
Deliang Fan
Associate Professor, School of Electrical Computer and Energy Engineering, Arizona State University
Verified email at asu.edu - Homepage
Title
Cited by
Cited by
Year
Parametric noise injection: Trainable randomness to improve deep neural network robustness against adversarial attack
Z He, AS Rakin, D Fan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
4072019
Bit-flip attack: Crushing neural network with progressive bit search
AS Rakin, Z He, D Fan
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
3732019
Tbt: Targeted neural network attack with bit trojan
AS Rakin, Z He, D Fan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3252020
Noise injection adaption: End-to-end ReRAM crossbar non-ideal effect adaption for neural network mapping
Z He, J Lin, R Ewetz, JS Yuan, D Fan
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
2722019
DeepHammer: Depleting the intelligence of deep neural networks through targeted chain of bit flips
F Yao, AS Rakin, D Fan
29th USENIX Security Symposium (USENIX Security 20), 1463-1480, 2020
2612020
Spin-transfer torque devices for logic and memory: Prospects and perspectives
X Fong, Y Kim, K Yogendra, D Fan, A Sengupta, A Raghunathan, K Roy
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2015
2612015
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories
A Siraj Rakin, M Hafizul Islam Chowdhuryy, F Yao, D Fan
2022 IEEE Symposium on Security and Privacy (SP), 2022
1842022
Cmp-pim: an energy-efficient comparator-based processing-in-memory neural network accelerator
S Angizi, Z He, AS Rakin, D Fan
Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018
1572018
Non-structured DNN weight pruning—Is it beneficial in any platform?
X Ma, S Lin, S Ye, Z He, L Zhang, G Yuan, SH Tan, Z Li, D Fan, X Qian, ...
IEEE transactions on neural networks and learning systems 33 (9), 4930-4944, 2021
1512021
MRIMA: An MRAM-based in-memory accelerator
S Angizi, Z He, A Awad, D Fan
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2019
1482019
TRGP: Trust Region Gradient Projection for Continual Learning
S Lin, L Yang, D Fan, J Zhang
International Conference on Learning Representations, 2022
1452022
A semi-supervised two-stage approach to learning from noisy labels
Y Ding, L Wang, D Fan, B Gong
2018 IEEE Winter conference on applications of computer vision (WACV), 1215-1224, 2018
1392018
T-BFA: Targeted Bit-Flip Adversarial Weight Attack
AS Rakin, Z He, J Li, F Yao, C Chakrabarti, D Fan
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7928 …, 2021
1352021
Defending and harnessing the bit-flip based adversarial weight attack
Z He, AS Rakin, J Li, C Chakrabarti, D Fan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1232020
2D MoS2-Based Threshold Switching Memristor for Artificial Neuron
D Dev, A Krishnaprasad, MS Shawkat, Z He, S Das, D Fan, HS Chung, ...
IEEE Electron Device Letters 41 (6), 936-939, 2020
1162020
Ressfl: A resistance transfer framework for defending model inversion attack in split federated learning
J Li, AS Rakin, X Chen, Z He, D Fan, C Chakrabarti
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
1112022
AlignS: A processing-in-memory accelerator for DNA short read alignment leveraging SOT-MRAM
S Angizi, J Sun, W Zhang, D Fan
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
1102019
Simultaneously optimizing weight and quantizer of ternary neural network using truncated gaussian approximation
Z He, D Fan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
962019
STT-SNN: A Spin-Transfer-Torque Based Soft-Limiting Non-Linear Neuron for Low-Power Artificial Neural Networks
D Fan, Y Shim, A Raghunathan, K Roy
Nanotechnology, IEEE Transactions on, 1, 2015
962015
Defending bit-flip attack through dnn weight reconstruction
J Li, AS Rakin, Y Xiong, L Chang, Z He, D Fan, C Chakrabarti
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
952020
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