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Adnan Siraj Rakin
Adnan Siraj Rakin
Assistant Professor (CS), Binghamton University (SUNY)
binghamton.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Parametric noise injection: Trainable randomness to improve deep neural network robustness against adversarial attack
AS Rakin, Z He, D Fan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2962019
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
2062019
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
2052020
{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
1292020
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
1202018
Defending and harnessing the bit-flip based adversarial weight attack
AS Rakin, Z He, J Li, C Chakrabarti, D Fan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
792020
Deepsteal: Advanced model extractions leveraging efficient weight stealing in memories
AS Rakin, MHI Chowdhuryy, F Yao, D Fan
2022 IEEE symposium on security and privacy (SP), 1157-1174, 2022
642022
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
642021
Defend deep neural networks against adversarial examples via fixed and dynamic quantized activation functions
AS Rakin, J Yi, B Gong, D Fan
arXiv preprint arXiv:1807.06714, 2018
552018
Low loss and flat dispersion Kagome photonic crystal fiber in the terahertz regime
S Rana, AS Rakin, MR Hasan, MS Reza, R Leonhardt, D Abbott, ...
Optics Communications 410, 452-456, 2018
512018
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
482020
{Deep-Dup}: An adversarial weight duplication attack framework to crush deep neural network in {Multi-Tenant}{FPGA}
AS Rakin, Y Luo, X Xu, D Fan
30th USENIX Security Symposium (USENIX Security 21), 1919-1936, 2021
472021
Radar: Run-time adversarial weight attack detection and accuracy recovery
J Li, AS Rakin, Z He, D Fan, C Chakrabarti
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 790-795, 2021
382021
Low loss and low dispersion fiber for transmission applications in the terahertz regime
S Rana, AS Rakin, H Subbaraman, R Leonhardt, D Abbott
IEEE Photonics Technology Letters 29 (10), 830-833, 2017
372017
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
332022
Pim-tgan: A processing-in-memory accelerator for ternary generative adversarial networks
AS Rakin, S Angizi, Z He, D Fan
2018 IEEE 36th International Conference on Computer Design (ICCD), 266-273, 2018
292018
Robust sparse regularization: Defending adversarial attacks via regularized sparse network
AS Rakin, Z He, L Yang, Y Wang, L Wang, D Fan
Proceedings of the 2020 on Great Lakes Symposium on VLSI, 125-130, 2020
25*2020
Sparse BD-Net: A multiplication-less DNN with sparse binarized depth-wise separable convolution
Z He, L Yang, S Angizi, AS Rakin, D Fan
ACM Journal on Emerging Technologies in Computing Systems (JETC) 16 (2), 1-24, 2020
202020
RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy
A Siraj Rakin, L Yang, J Li, F Yao, C Chakrabarti, Y Cao, J Seo, D Fan
arXiv e-prints, arXiv: 2103.13813, 2021
19*2021
Neurobfuscator: A full-stack obfuscation tool to mitigate neural architecture stealing
J Li, Z He, AS Rakin, D Fan, C Chakrabarti
2021 IEEE International Symposium on Hardware Oriented Security and Trust …, 2021
182021
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