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Adnan Siraj Rakin
Adnan Siraj Rakin
Assistant Professor, School of Computing, Binghamton University (SUNY)
Dirección de correo verificada de binghamton.edu - Página principal
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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
3522019
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
2892019
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
2742020
{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
1882020
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
1372018
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
1192022
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
1042020
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
1012021
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
782020
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
722022
{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
672021
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
652018
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
562021
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
522018
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
382017
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
332018
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
32*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
312021
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
29*2020
Rep-net: Efficient on-device learning via feature reprogramming
L Yang, AS Rakin, D Fan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
282022
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